Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
Skip header Section
Adaptation in natural and artificial systemsMay 1992
Publisher:
  • MIT Press
  • 55 Hayward St.
  • Cambridge
  • MA
  • United States
ISBN:978-0-262-58111-0
Published:01 May 1992
Pages:
211
Skip Bibliometrics Section
Reflects downloads up to 23 Dec 2024Bibliometrics
Abstract

No abstract available.

Cited By

  1. Beltran L, Navarro M, Oliva D, Campos-Peña D, Ramos-Frutos J and Zapotecas-Martínez S (2024). Quasi-random Fractal Search (QRFS), Expert Systems with Applications: An International Journal, 254:C, Online publication date: 15-Nov-2024.
  2. Lv L, Zhang B and Li H (2024). An uncertain bi-objective mean-entropy model for portfolio selection with realistic factors, Mathematics and Computers in Simulation, 225:C, (216-231), Online publication date: 1-Nov-2024.
  3. Wang Z, Li S, Ding H, Dhiman G, Hou P, Li A, Hu P, Yang Z and Wang J (2024). Elite‐guided equilibrium optimiser based on information enhancement, CAAI Transactions on Intelligence Technology, 9:5, (1126-1171), Online publication date: 31-Oct-2024.
  4. Larrañaga P and Bielza C (2024). Estimation of Distribution Algorithms in Machine Learning: A Survey, IEEE Transactions on Evolutionary Computation, 28:5, (1301-1321), Online publication date: 1-Oct-2024.
  5. Pereira J, Mendes J, Júnior J, Viegas C and Paulo J (2024). Metaheuristic algorithms for calibration of two-dimensional wildfire spread prediction model, Engineering Applications of Artificial Intelligence, 136:PA, Online publication date: 1-Oct-2024.
  6. Li X and Liu C (2024). Energy-efficient scheduling in an identical parallel machine environment with peak power consumption and deadline constraints, Computers and Operations Research, 170:C, Online publication date: 1-Oct-2024.
  7. Ghosal S and Ghosh S (2024). Expected polynomial-time randomized algorithm for graph coloring problem, Discrete Applied Mathematics, 354:C, (108-121), Online publication date: 15-Sep-2024.
  8. Zelenkov Y (2024). Firm failure prediction using genetic programming generated features, Expert Systems with Applications: An International Journal, 249:PC, Online publication date: 1-Sep-2024.
  9. Reza M (2024). High-performance application mapping in network-on-chip-based multicore systems, The Journal of Supercomputing, 80:13, (18573-18599), Online publication date: 1-Sep-2024.
  10. Burlacu B, Yang K and Affenzeller M (2024). Population diversity and inheritance in genetic programming for symbolic regression, Natural Computing: an international journal, 23:3, (531-566), Online publication date: 1-Sep-2024.
  11. Olivo J, Cucuzza R, Bertagnoli G and Domaneschi M (2024). Optimal design of steel exoskeleton for the retrofitting of RC buildings via genetic algorithm, Computers and Structures, 299:C, Online publication date: 1-Aug-2024.
  12. ACM
    Murayama M, Ito N and Otsuka T Proposal and Implementation of Production Schedule Optimization Method Considering Job Processing Start Time and Processing Order Proceedings of the 2024 12th International Conference on Computer and Communications Management, (25-31)
  13. Li J, Hong Z, Zhang C, Wu J and Yu C (2024). A novel hybrid model for crude oil price forecasting based on MEEMD and Mix-KELM, Expert Systems with Applications: An International Journal, 246:C, Online publication date: 15-Jul-2024.
  14. ACM
    Doerr B, Echarghaoui A, Jamal M and Krejca M Runtime Analysis of the (μ + 1) GA: Provable Speed-Ups from Strong Drift towards Diverse Populations Proceedings of the Genetic and Evolutionary Computation Conference Companion, (35-36)
  15. Li Y, Tang L, Bai D and Coelho L (2024). Profit maximization through integrated order acceptance and scheduling, Applied Soft Computing, 159:C, Online publication date: 1-Jul-2024.
  16. Li F, Zuo H, Jia Y and Qiu J (2024). A developed Criminisi algorithm based on particle swarm optimization (PSO-CA) for image inpainting, The Journal of Supercomputing, 80:11, (16611-16629), Online publication date: 1-Jul-2024.
  17. Paiva E, Matos M and Rocha A A Simulation-Based Optimization Approach to the Firefighting Resource Scheduling Problem Computational Science and Its Applications – ICCSA 2024 Workshops, (383-396)
  18. Matos M, Gonçalves R, Rocha A, Costa L and Alvelos F A Firefighting Resource Dispatch Problem Optimization Using Metaheuristics Computational Science and Its Applications – ICCSA 2024 Workshops, (313-323)
  19. Matsuura T Tabu Search for Solving Covering Salesman Problem with Nodes and Segments Metaheuristics, (93-99)
  20. Wu Y and Yang J (2024). Directional optimization of elevator scheduling algorithms in complex traffic patterns▪, Applied Soft Computing, 158:C, Online publication date: 1-Jun-2024.
  21. Durgut P, Tozak M and Ayvaz M (2024). SHuffled Ant Lion Optimization approach with an exponentially weighted random walk strategy, Neural Computing and Applications, 36:18, (10475-10499), Online publication date: 1-Jun-2024.
  22. Pan B and Scheffel E (2024). Do futures improve genetically trained high-frequency technical trading rules for the Chinese index ETF market?▪, Expert Systems with Applications: An International Journal, 242:C, Online publication date: 15-May-2024.
  23. Park S and Puranam P (2024). Vicarious Learning Without Knowledge Differentials, Management Science, 70:5, (2999-3019), Online publication date: 1-May-2024.
  24. Yang W, Wang H, Zhang Y, Luo Z and Li T (2024). A nondominated sorting genetic model for co-clustering, Information Sciences: an International Journal, 667:C, Online publication date: 1-May-2024.
  25. Alaminos D, Salas M and Fernández-Gámez M (2024). Hybrid genetic algorithms in agent-based artificial market model for simulating fan tokens trading, Engineering Applications of Artificial Intelligence, 131:C, Online publication date: 1-May-2024.
  26. Ahmadi M, Ebadi-Jamkhaneh M, Dalvand A and Rezazadeh Eidgahee D (2024). Hybrid bio-inspired metaheuristic approach for design compressive strength of high-strength concrete-filled high-strength steel tube columns, Neural Computing and Applications, 36:14, (7953-7969), Online publication date: 1-May-2024.
  27. Scianna M (2024). The AddACO, Mathematics and Computers in Simulation, 218:C, (357-382), Online publication date: 1-Apr-2024.
  28. Berger U, Bell A, Barton C, Chappin E, Dreßler G, Filatova T, Fronville T, Lee A, van Loon E, Lorscheid I, Meyer M, Müller B, Piou C, Radchuk V, Roxburgh N, Schüler L, Troost C, Wijermans N, Williams T, Wimmler M and Grimm V (2024). Towards reusable building blocks for agent-based modelling and theory development, Environmental Modelling & Software, 175:C, Online publication date: 1-Apr-2024.
  29. ACM
    José-García A, Jacques J, Sobanski V and Dhaenens C (2023). Metaheuristic Biclustering Algorithms: From State-of-the-art to Future Opportunities, ACM Computing Surveys, 56:3, (1-38), Online publication date: 31-Mar-2024.
  30. Borgonjon T and Maenhout B (2024). A genetic algorithm for the personnel task rescheduling problem with time preemption, Expert Systems with Applications: An International Journal, 238:PB, Online publication date: 15-Mar-2024.
  31. Sohrabi M, Fathollahi-Fard A and Gromov V (2024). Genetic Engineering Algorithm (GEA): An Efficient Metaheuristic Algorithm for Solving Combinatorial Optimization Problems, Automation and Remote Control, 85:3, (252-262), Online publication date: 1-Mar-2024.
  32. Li X, Wang X, Liu F, Lam H and Du Y (2024). Stability Analysis and Event-Triggered Control for IT2 Discrete-Time Positive Polynomial Fuzzy Networked Control Systems With Time Delay, IEEE Transactions on Fuzzy Systems, 32:3, (1346-1358), Online publication date: 1-Mar-2024.
  33. Alzaman C (2024). Deep learning in stock portfolio selection and predictions, Expert Systems with Applications: An International Journal, 237:PB, Online publication date: 1-Mar-2024.
  34. Song H, Bei J, Zhang H, Wang J and Zhang P (2024). Hybrid algorithm of differential evolution and flower pollination for global optimization problems, Expert Systems with Applications: An International Journal, 237:PA, Online publication date: 1-Mar-2024.
  35. Baier D and Voekler S (2024). One-stage product-line design heuristics: an empirical comparison, OR Spectrum, 46:1, (73-107), Online publication date: 1-Mar-2024.
  36. Kinjo R, Nakazono K, Oshiro N and Kinjo H (2024). Performance evaluation of schedule plan for cuckoo search applied to the neural network controller of a rotary crane, Artificial Life and Robotics, 29:1, (129-135), Online publication date: 1-Feb-2024.
  37. Moeini R and Sarhadi K (2024). Cyclic storage approach for conjunctive operation of surface and groundwater systems (Case study: ZarrinehRoud catchment area), Soft Computing - A Fusion of Foundations, Methodologies and Applications, 28:3, (1989-2014), Online publication date: 1-Feb-2024.
  38. Jain M and Singh P (2024). Pricing, prepayment and preservation strategy for inventory model with deterioration using metaheuristic algorithms, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 28:4, (3415-3430), Online publication date: 1-Feb-2024.
  39. Su F, Wang Y, Yang S, Yao Y and Elbasi E (2024). A Manifold-Guided Gravitational Search Algorithm for High-Dimensional Global Optimization Problems, International Journal of Intelligent Systems, 2024, Online publication date: 1-Jan-2024.
  40. Samanlioglu F, Tabassum N, Karaca T, Bilge A and Haldorai A (2024). A Bicriteria Model to Determine Pareto Optimal Pulse Vaccination Strategies, Applied Computational Intelligence and Soft Computing, 2024, Online publication date: 1-Jan-2024.
  41. Ma Z, Guo H, Chen J, Li Z, Peng G, Gong Y, Ma Y and Cao Z MetaBox Proceedings of the 37th International Conference on Neural Information Processing Systems, (10775-10795)
  42. Gallegos-Erazo F, Anastacio-Aquino J and Calero-Córdova R (2023). Bullish Price Patterns in the NASDAQ-100 Stock Index Evaluated Through Genetic Algorithm, SN Computer Science, 5:1, Online publication date: 2-Dec-2023.
  43. Li W, Gao Y and Wang L (2023). An Improved Competitive Swarm Optimizer with Super-Particle-Leading, Neural Processing Letters, 55:8, (10501-10533), Online publication date: 1-Dec-2023.
  44. Lin S, Merdikawati S, Wu S and Yeh R (2023). Optimization and analysis of three-part tariff pricing strategies, OR Spectrum, 45:4, (1223-1262), Online publication date: 1-Dec-2023.
  45. Paulavičius R, Stripinis L, Sutavičiūtė S, Kočegarov D and Filatovas E (2023). A novel greedy genetic algorithm-based personalized travel recommendation system, Expert Systems with Applications: An International Journal, 230:C, Online publication date: 15-Nov-2023.
  46. García-Morales M, Brambila-Hernández J, Fraire-Huacuja H, Frausto-Solis J, Cruz-Reyes L, Gómez-Santillan C, Valadez J and Aguirre-Lam M Multi-objective Evolutionary Algorithm Based on Decomposition to Solve the Bi-objective Internet Shopping Optimization Problem (MOEA/D-BIShOP) Advances in Computational Intelligence. MICAI 2023 International Workshops, (326-336)
  47. Hsieh Y, You P and Chen T Immune-Based Algorithm for the Multi-server Home Care Service Problem with Various Frequencies: An Example of Taiwan Integrated Uncertainty in Knowledge Modelling and Decision Making, (199-210)
  48. Li M, Zhang C, Li Q and Cheng S (2023). Monotonic learning with hypothesis evolution, Information Sciences: an International Journal, 647:C, Online publication date: 1-Nov-2023.
  49. Hu C, Zeng S and Li C (2024). Scalable GP with hyperparameters sharing based on transfer learning for solving expensive optimization problems, Applied Soft Computing, 148:C, Online publication date: 1-Nov-2023.
  50. Pereira J, Francisco M, de Almeida F, Ma B, Cunha S and Gomes G (2023). Enhanced Lichtenberg algorithm: a discussion on improving meta-heuristics, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 27:21, (15619-15647), Online publication date: 1-Nov-2023.
  51. Mohan S and Sinha A (2023). Elitist Non-dominated Sorting directional Bat algorithm (ENSdBA), Expert Systems with Applications: An International Journal, 227:C, Online publication date: 1-Oct-2023.
  52. Bracke V, Werrebrouck G, Santos J, Wauters T, De Turck F and Volckaert B (2023). Online Dynamic Container Rescheduling for Improved Application Service Time, Journal of Network and Systems Management, 31:4, Online publication date: 1-Oct-2023.
  53. Tong B, Lau W, Sung C and Wong W PROS-C: Accelerating Random Orthogonal Search for Global Optimization Using Crossover Machine Learning, Optimization, and Data Science, (283-298)
  54. Padilla D, Padilla-Rascón M, Cámara R and Carmona C A First Evolutionary Fuzzy Approach for Change Mining with Smart Bands Flexible Query Answering Systems, (171-181)
  55. Bo H, Chen X, Luo Q and Wang W (2023). Manufacturing rescheduling after crisis or disaster-caused supply chain disruption, Computers and Operations Research, 157:C, Online publication date: 1-Sep-2023.
  56. Liu H, Zhang X, Zhang H, Li C and Chen Z (2023). A reinforcement learning-based hybrid Aquila Optimizer and improved Arithmetic Optimization Algorithm for global optimization, Expert Systems with Applications: An International Journal, 224:C, Online publication date: 15-Aug-2023.
  57. ACM
    Sims K Evolving Virtual Creatures Seminal Graphics Papers: Pushing the Boundaries, Volume 2, (699-706)
  58. Gu X, Han J, Shen Q and Angelov P (2023). Autonomous learning for fuzzy systems: a review, Artificial Intelligence Review, 56:8, (7549-7595), Online publication date: 1-Aug-2023.
  59. Kiruthika R, Yiping L, Laohakangvalvit T, Sripian P and Sugaya M Recommendation of Sustainable Route Optimization for Travel and Tourism HCI in Mobility, Transport, and Automotive Systems, (385-396)
  60. ACM
    Islam N and Oyekan J An Improved Hybrid Multi-Objective Particle Swarm Optimization to Enhance Convergence and Diversity Proceedings of the Companion Conference on Genetic and Evolutionary Computation, (1793-1802)
  61. ACM
    Stolfi D and Danoy G Spacecraft Swarm Orbital Formation Optimisation Using Evolutionary Techniques Proceedings of the Companion Conference on Genetic and Evolutionary Computation, (771-774)
  62. ACM
    Khan A and Deb K Optimizing Keyboard Configuration Using Single and Multi-Objective Evolutionary Algorithms Proceedings of the Companion Conference on Genetic and Evolutionary Computation, (219-222)
  63. ACM
    Whitley D, Quevedo De Carvalho O, Roberts M, Shetty V and Jampathom P Scheduling Multi-Resource Satellites using Genetic Algorithms and Permutation Based Representations Proceedings of the Genetic and Evolutionary Computation Conference, (1473-1481)
  64. Matos M, Rocha A, Costa L and Alvelos F Resource Dispatch Optimization for Firefighting Based on Genetic Algorithm Computational Science and Its Applications – ICCSA 2023 Workshops, (437-453)
  65. Struniawski K, Kozera R and Konopka A Performance of Selected Nature-Inspired Metaheuristic Algorithms Used for Extreme Learning Machine Computational Science – ICCS 2023, (498-512)
  66. Zhang T, Zhou Y, Zhou G, Deng W and Luo Q (2023). Discrete Mayfly Algorithm for spherical asymmetric traveling salesman problem, Expert Systems with Applications: An International Journal, 221:C, Online publication date: 1-Jul-2023.
  67. Lozano M and Rodriguez-Tello E (2023). Population-based iterated greedy algorithm for the S-labeling problem, Computers and Operations Research, 155:C, Online publication date: 1-Jul-2023.
  68. Mishra K and Majhi S (2023). A novel improved hybrid optimization algorithm for efficient dynamic medical data scheduling in cloud-based systems for biomedical applications, Multimedia Tools and Applications, 82:18, (27087-27121), Online publication date: 1-Jul-2023.
  69. Turgut O, Turgut M and Kırtepe E (2023). A systematic review of the emerging metaheuristic algorithms on solving complex optimization problems, Neural Computing and Applications, 35:19, (14275-14378), Online publication date: 1-Jul-2023.
  70. Charpentier A, Élie R and Remlinger C (2023). Reinforcement Learning in Economics and Finance, Computational Economics, 62:1, (425-462), Online publication date: 1-Jun-2023.
  71. Pan Q, Tang J, Zhan J and Li H (2023). Bacteria phototaxis optimizer, Neural Computing and Applications, 35:18, (13433-13464), Online publication date: 1-Jun-2023.
  72. Shambour M and Abu-Hashem M (2023). Optimizing airport slot scheduling problem using optimization algorithms, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 27:12, (7939-7955), Online publication date: 1-Jun-2023.
  73. Norat R, Wu A and Liu X (2023). Genetic algorithms with self-adaptation for predictive classification of Medicare standardized payments for physical therapists, Expert Systems with Applications: An International Journal, 218:C, Online publication date: 15-May-2023.
  74. Egrioglu E, Grosan C and Bas E (2023). A new genetic algorithm method based on statistical-based replacement for the training of multiplicative neuron model artificial neural networks, The Journal of Supercomputing, 79:7, (7286-7304), Online publication date: 1-May-2023.
  75. Tang J, Duan H and Lao S (2023). Swarm intelligence algorithms for multiple unmanned aerial vehicles collaboration: a comprehensive review, Artificial Intelligence Review, 56:5, (4295-4327), Online publication date: 1-May-2023.
  76. ACM
    Singh R, Awasthi L and Sikka G (2022). Towards Metaheuristic Scheduling Techniques in Cloud and Fog: An Extensive Taxonomic Review, ACM Computing Surveys, 55:3, (1-43), Online publication date: 30-Apr-2023.
  77. Wang F (2023). An efficient optimization procedure for location-inventory problems with (S-1, S) policy and retrial demands, Mathematics and Computers in Simulation, 206:C, (664-688), Online publication date: 1-Apr-2023.
  78. Zhong C, Li G, Meng Z and He W (2023). Opposition-based learning equilibrium optimizer with Levy flight and evolutionary population dynamics for high-dimensional global optimization problems, Expert Systems with Applications: An International Journal, 215:C, Online publication date: 1-Apr-2023.
  79. Mosallanezhad B, Gholian-Jouybari F, Cárdenas-Barrón L and Hajiaghaei-Keshteli M (2023). The IoT-enabled sustainable reverse supply chain for COVID-19 Pandemic Wastes (CPW), Engineering Applications of Artificial Intelligence, 120:C, Online publication date: 1-Apr-2023.
  80. Rajmohan S, Elakkiya E and Sreeja S (2023). Multi-cohort whale optimization with search space tightening for engineering optimization problems, Neural Computing and Applications, 35:12, (8967-8986), Online publication date: 1-Apr-2023.
  81. Dhawale D, Kamboj V and Anand P (2023). An improved Chaotic Harris Hawks Optimizer for solving numerical and engineering optimization problems, Engineering with Computers, 39:2, (1183-1228), Online publication date: 1-Apr-2023.
  82. ACM
    Bradley J and Blossom A (2023). The Generation of Visually Credible Adversarial Examples with Genetic Algorithms, ACM Transactions on Evolutionary Learning and Optimization, 3:1, (1-44), Online publication date: 31-Mar-2023.
  83. Koçak Ö, Levinthal D and Puranam P (2023). The Dual Challenge of Search and Coordination for Organizational Adaptation, Organization Science, 34:2, (851-869), Online publication date: 1-Mar-2023.
  84. Spirov A and Myasnikova E (2023). Problem of Domain/Building Block Preservation in the Evolution of Biological Macromolecules and Evolutionary Computation, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 20:2, (1345-1362), Online publication date: 1-Mar-2023.
  85. Ozcetin E, Ozturk G, Ozturk Z, Kasimbeyli R and Kasimbeyli N (2023). A decision support system for consolidated distribution of a ceramic sanitary ware company, Expert Systems with Applications: An International Journal, 213:PA, Online publication date: 1-Mar-2023.
  86. Alouane B and Boulif M (2023). Fuzzy constraint prioritization to solve heavily constrained problems with the genetic algorithm, Engineering Applications of Artificial Intelligence, 119:C, Online publication date: 1-Mar-2023.
  87. Red'ko V, Samsonovich A and Klimov V (2023). Computational modeling of insight processes and artificial cognitive ontogeny, Cognitive Systems Research, 78:C, (71-86), Online publication date: 1-Mar-2023.
  88. Jiang X, Zhong M, Shi G, Li W and Sui Y (2023). Vessel scheduling model with resource restriction considerations for restricted channel in ports, Computers and Industrial Engineering, 177:C, Online publication date: 1-Mar-2023.
  89. Avila-Melgar E, Cruz-Chávez M, Martínez-Bahena B, Eraña-Díaz M and Cruz-Rosales M (2023). Parallel evolutionary algorithm for Water Distribution Network Design, using the Masters–Students model in distributed environment, Applied Soft Computing, 135:C, Online publication date: 1-Mar-2023.
  90. Chen C, Chen Y, Diaz V and Lin J (2021). RETRACTED ARTICLE: An intelligent trading mechanism based on the group trading strategy portfolio to reduce massive loss by the grouping genetic algorithm, Electronic Commerce Research, 23:1, (3-42), Online publication date: 1-Mar-2023.
  91. Amirghasemi M (2023). An effective parallel evolutionary metaheuristic with its application to three optimization problems, Applied Intelligence, 53:5, (5887-5909), Online publication date: 1-Mar-2023.
  92. Ozsoydan F and Gölcük İ (2023). A reinforcement learning based computational intelligence approach for binary optimization problems, Engineering Applications of Artificial Intelligence, 118:C, Online publication date: 1-Feb-2023.
  93. Karabaş T and Meral S (2023). An exact solution method and a genetic algorithm-based approach for the unit commitment problem in conventional power generation systems, Computers and Industrial Engineering, 176:C, Online publication date: 1-Feb-2023.
  94. Changdar C, Mondal M, Giri P, Nandi U and Pal R (2023). A two-phase ant colony optimization based approach for single depot multiple travelling salesman problem in Type-2 fuzzy environment, Artificial Intelligence Review, 56:2, (965-993), Online publication date: 1-Feb-2023.
  95. Sadrekarimi N, Talatahari S, Azar B and Gandomi A (2023). A surrogate merit function developed for structural weight optimization problems, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 27:3, (1533-1563), Online publication date: 1-Feb-2023.
  96. Huang H, Liu Z, Zheng H, Xu X and Duan Y (2023). A proportional expected improvement criterion-based multi-fidelity sequential optimization method, Structural and Multidisciplinary Optimization, 66:2, Online publication date: 1-Feb-2023.
  97. Tian Y, Zhu W, Zhang X and Jin Y (2023). A practical tutorial on solving optimization problems via PlatEMO, Neurocomputing, 518:C, (190-205), Online publication date: 21-Jan-2023.
  98. ACM
    Lee C, Li Y, Chen Y and Wang C Approximate Logic Synthesis by Genetic Algorithm with an Error Rate Guarantee Proceedings of the 28th Asia and South Pacific Design Automation Conference, (146-151)
  99. Dash S, De B, Samanta P, Appasani B, Kar R, Mandal D, Bizon N and Deen M (2023). Optimal Design of Voltage Reference Circuit and Ring Oscillator Circuit Using Multiobjective Differential Evolution Algorithm, Journal of Electrical and Computer Engineering, 2023, Online publication date: 1-Jan-2023.
  100. Alorf A (2023). A survey of recently developed metaheuristics and their comparative analysis, Engineering Applications of Artificial Intelligence, 117:PA, Online publication date: 1-Jan-2023.
  101. ACM
    Stripinis L and Paulavičius R (2022). DIRECTGO: A New DIRECT-Type MATLAB Toolbox for Derivative-Free Global Optimization, ACM Transactions on Mathematical Software, 48:4, (1-46), Online publication date: 31-Dec-2022.
  102. Esmikhani S, Kazemipoor H, Sobhani F and Molana S (2022). Solving fuzzy robust facility layout problem equipped with cranes using MPS algorithm and modified NSGA-II, Expert Systems with Applications: An International Journal, 210:C, Online publication date: 30-Dec-2022.
  103. Patel H (2023). Metaheuristic Optimization Algorithm for Optimal Design of Type-2 Fuzzy Controller, International Journal of Applied Evolutionary Computation, 13:1, (1-15), Online publication date: 29-Dec-2022.
  104. ACM
    M R, Kumar A, Saboon S, Kumar S, Bp Y and Prasad S A Review on Path Planning Technique for Bio-Inspired Robot Proceedings of the 4th International Conference on Information Management & Machine Intelligence, (1-6)
  105. Mahdavi-Meymand A and Zounemat-Kermani M (2022). Homonuclear Molecules Optimization (HMO) meta-heuristic algorithm, Knowledge-Based Systems, 258:C, Online publication date: 22-Dec-2022.
  106. Tong L and Du B (2022). Neural architecture search via reference point based multi‐objective evolutionary algorithm, Pattern Recognition, 132:C, Online publication date: 1-Dec-2022.
  107. Pan J, Zhang L, Wang R, Snášel V and Chu S (2022). Gannet optimization algorithm , Mathematics and Computers in Simulation, 202:C, (343-373), Online publication date: 1-Dec-2022.
  108. Ikram R, Ewees A, Parmar K, Yaseen Z, Shahid S and Kisi O (2022). The viability of extended marine predators algorithm-based artificial neural networks for streamflow prediction, Applied Soft Computing, 131:C, Online publication date: 1-Dec-2022.
  109. Abasabadi S, Nematzadeh H, Motameni H and Akbari E (2022). Hybrid feature selection based on SLI and genetic algorithm for microarray datasets, The Journal of Supercomputing, 78:18, (19725-19753), Online publication date: 1-Dec-2022.
  110. Pan Q, Tang J and Lao S (2022). EDOA: An Elastic Deformation Optimization Algorithm, Applied Intelligence, 52:15, (17580-17599), Online publication date: 1-Dec-2022.
  111. Song H, Wang J, Song L, Zhang H, Bei J, Ni J and Ye B (2022). Improvement and application of hybrid real-coded genetic algorithm, Applied Intelligence, 52:15, (17410-17448), Online publication date: 1-Dec-2022.
  112. Zhou J, Huang S, Wang M and Qiu Y (2022). Performance evaluation of hybrid GA–SVM and GWO–SVM models to predict earthquake-induced liquefaction potential of soil: a multi-dataset investigation, Engineering with Computers, 38:Suppl 5, (4197-4215), Online publication date: 1-Dec-2022.
  113. ACM
    Tian Y, Si L, Zhang X, Cheng R, He C, Tan K and Jin Y (2021). Evolutionary Large-Scale Multi-Objective Optimization: A Survey, ACM Computing Surveys, 54:8, (1-34), Online publication date: 30-Nov-2022.
  114. ACM
    Telikani A, Tahmassebi A, Banzhaf W and Gandomi A (2021). Evolutionary Machine Learning: A Survey, ACM Computing Surveys, 54:8, (1-35), Online publication date: 30-Nov-2022.
  115. Jiang R, Shankaran R, Wang S and Chao T (2022). A proportional, integral and derivative differential evolution algorithm for global optimization, Expert Systems with Applications: An International Journal, 206:C, Online publication date: 15-Nov-2022.
  116. Abdelbar A, Humphries T, Falcón-Cardona J and Coello Coello C An Extension of the iMOACO Algorithm Based on Layer-Set Selection Swarm Intelligence, (266-274)
  117. Hosseiny H (2022). Implementation of heuristic search algorithms in the calibration of a river hydraulic model, Environmental Modelling & Software, 157:C, Online publication date: 1-Nov-2022.
  118. Blum C, Eremeev A and Zakharova Y (2022). Hybridizations of evolutionary algorithms with Large Neighborhood Search, Computer Science Review, 46:C, Online publication date: 1-Nov-2022.
  119. Amirteimoori A, Mahdavi I, Solimanpur M, Ali S and Tirkolaee E (2022). A parallel hybrid PSO-GA algorithm for the flexible flow-shop scheduling with transportation, Computers and Industrial Engineering, 173:C, Online publication date: 1-Nov-2022.
  120. Yu B, Zhang D, Xu B, Liu Y, Zhao H and Wang C (2022). Modeling of true triaxial strength of rocks based on optimized genetic programming, Applied Soft Computing, 129:C, Online publication date: 1-Nov-2022.
  121. Xhelaj A and Burlando M (2022). Application of metaheuristic optimization algorithms to evaluate the geometric and kinematic parameters of downbursts, Advances in Engineering Software, 173:C, Online publication date: 1-Nov-2022.
  122. Kontos Y, Kassandros T, Perifanos K, Karampasis M, Katsifarakis K and Karatzas K (2022). Machine learning for groundwater pollution source identification and monitoring network optimization, Neural Computing and Applications, 34:22, (19515-19545), Online publication date: 1-Nov-2022.
  123. Hagenhoff K, Viehmann E and Rodosek G Time-Sensitive Multi-Flow Routing in Highly Utilized MANETs Proceedings of the 18th International Conference on Network and Service Management, (1-9)
  124. Morch H, Yuan S, Duchêne L, Harzallah R and Habraken A (2022). A review of higher order Newton type methods and the effect of numerical damping for the solution of an advanced coupled Lemaitre damage model, Finite Elements in Analysis and Design, 209:C, Online publication date: 15-Oct-2022.
  125. Wei J and Niu H (2022). A ranking-based adaptive cuckoo search algorithm for unconstrained optimization, Expert Systems with Applications: An International Journal, 204:C, Online publication date: 15-Oct-2022.
  126. Novakovic A and Marshall A (2022). The CP‐ABM approach for modelling COVID‐19 infection dynamics and quantifying the effects of non‐pharmaceutical interventions, Pattern Recognition, 130:C, Online publication date: 1-Oct-2022.
  127. Wei W, Ouyang H, Li S, Zhao X and Zou D (2022). A modified fireworks algorithm with dynamic search interval based on closed-loop control, Mathematics and Computers in Simulation, 200:C, (329-360), Online publication date: 1-Oct-2022.
  128. Estran R, Souchaud A and Abitbol D (2022). Using a genetic algorithm to optimize an expert credit rating model, Expert Systems with Applications: An International Journal, 203:C, Online publication date: 1-Oct-2022.
  129. Christou V, Koritsoglou K, Ntritsos G, Tsoumanis G, Tsipouras M, Giannakeas N, Glavas E and Tzallas A (2022). Heterogeneous hybrid extreme learning machine for temperature sensor accuracy improvement, Expert Systems with Applications: An International Journal, 203:C, Online publication date: 1-Oct-2022.
  130. Sadiq A, Dehkordi A, Mirjalili S and Pham Q (2022). Nonlinear marine predator algorithm, Expert Systems with Applications: An International Journal, 203:C, Online publication date: 1-Oct-2022.
  131. Lugão B, Knupp D and Rodriges P (2022). Direct and inverse simulation applied to the identification and quantification of point pollution sources in rivers, Environmental Modelling & Software, 156:C, Online publication date: 1-Oct-2022.
  132. Jia Y, Su Y, Zhang R, Zhang Z, Lu Y, Shi D, Xu C and Huang D (2022). Optimization of an extreme learning machine model with the sparrow search algorithm to estimate spring maize evapotranspiration with film mulching in the semiarid regions of China, Computers and Electronics in Agriculture, 201:C, Online publication date: 1-Oct-2022.
  133. Jain M and Singh P (2022). Optimal inspection and advance payment policy for deteriorating items using differential evolution metaheuristic, Applied Soft Computing, 128:C, Online publication date: 1-Oct-2022.
  134. Kaedi M, Bohlooli A and Pakrooh R (2022). Simultaneous optimization of cluster head selection and inter-cluster routing in wireless sensor networks using a 2-level genetic algorithm, Applied Soft Computing, 128:C, Online publication date: 1-Oct-2022.
  135. Wang M, Wang J, Song H, Zhang M, Zhang X, Zheng Y and Zhu J (2022). Hybrid multi-objective Harris Hawk optimization algorithm based on elite non-dominated sorting and grid index mechanism, Advances in Engineering Software, 172:C, Online publication date: 1-Oct-2022.
  136. Kumar G, Singh U and Jain S (2022). Swarm Intelligence Based Hybrid Neural Network Approach for Stock Price Forecasting, Computational Economics, 60:3, (991-1039), Online publication date: 1-Oct-2022.
  137. Zhou J, Huang S, Zhou T, Armaghani D and Qiu Y (2022). Employing a genetic algorithm and grey wolf optimizer for optimizing RF models to evaluate soil liquefaction potential, Artificial Intelligence Review, 55:7, (5673-5705), Online publication date: 1-Oct-2022.
  138. Sezen C and Partal T (2022). New hybrid GR6J-wavelet-based genetic algorithm-artificial neural network (GR6J-WGANN) conceptual-data-driven model approaches for daily rainfall–runoff modelling, Neural Computing and Applications, 34:20, (17231-17255), Online publication date: 1-Oct-2022.
  139. Elghamrawy S and Hassanien A (2022). A hybrid Genetic–Grey Wolf Optimization algorithm for optimizing Takagi–Sugeno–Kang fuzzy systems, Neural Computing and Applications, 34:19, (17051-17069), Online publication date: 1-Oct-2022.
  140. Zhong C, Li G and Meng Z (2022). A hybrid teaching–learning slime mould algorithm for global optimization and reliability-based design optimization problems, Neural Computing and Applications, 34:19, (16617-16642), Online publication date: 1-Oct-2022.
  141. Souza B, Anflor C and Jorge A (2022). Application of Modified Adaptive Morphogenesis and Robust Optimization Algorithms for thin stiffened plates, Engineering with Computers, 38:Suppl 4, (3391-3407), Online publication date: 1-Oct-2022.
  142. Weslin D and Joshva Devadas T (2022). Extricating web pages from deep web using deaima architecture, Theoretical Computer Science, 931:C, (93-103), Online publication date: 29-Sep-2022.
  143. Zhang J, Hou X, Liu M, Yang S, Liu B, Wang J and Zhang J (2022). Hybrid small-signal modeling of GaN HEMTs based on improved genetic algorithm, Microelectronics Journal, 127:C, Online publication date: 1-Sep-2022.
  144. Meidani K, Mirjalili S and Barati Farimani A (2022). Online metaheuristic algorithm selection, Expert Systems with Applications: An International Journal, 201:C, Online publication date: 1-Sep-2022.
  145. Wang L, Cao Q, Zhang Z, Mirjalili S and Zhao W (2022). Artificial rabbits optimization, Engineering Applications of Artificial Intelligence, 114:C, Online publication date: 1-Sep-2022.
  146. Di Placido A, Archetti C and Cerrone C (2022). A genetic algorithm for the close-enough traveling salesman problem with application to solar panels diagnostic reconnaissance, Computers and Operations Research, 145:C, Online publication date: 1-Sep-2022.
  147. Başaran E (2022). A new brain tumor diagnostic model, Computers in Biology and Medicine, 148:C, Online publication date: 1-Sep-2022.
  148. Degertekin S and Tutar H (2022). Optimized seismic design of planar and spatial steel frames using the hybrid learning based jaya algorithm, Advances in Engineering Software, 171:C, Online publication date: 1-Sep-2022.
  149. Li S, Wang J, Xie W and Li X (2022). An improved Henry gas solubility optimization algorithm based on Lévy flight and Brown motion, Applied Intelligence, 52:11, (12584-12608), Online publication date: 1-Sep-2022.
  150. Bai L, Li H, Gao W and Xie J (2022). A cooperative genetic algorithm based on extreme learning machine for data classification, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 26:17, (8585-8601), Online publication date: 1-Sep-2022.
  151. Chen D, Ge Y, Wan Y, Deng Y, Chen Y and Zou F (2022). Poplar optimization algorithm, Expert Systems with Applications: An International Journal, 200:C, Online publication date: 15-Aug-2022.
  152. Qi B, Pu L, Xu C and Zheng A Multi-robot Task Assignment Method in the Construction Waste Sorting System 2022 IEEE International Conference on Mechatronics and Automation (ICMA), (1364-1369)
  153. Xiang X, Su Q, Huang G and Hu Z (2022). A simplified non-equidistant grey prediction evolution algorithm for global optimization, Applied Soft Computing, 125:C, Online publication date: 1-Aug-2022.
  154. Fan Q, Huang H, Chen Q, Yao L, Yang K and Huang D (2022). A modified self-adaptive marine predators algorithm: framework and engineering applications, Engineering with Computers, 38:4, (3269-3294), Online publication date: 1-Aug-2022.
  155. ACM
    Jin Y, Han Y, Geng Z, Teran J and Fedkiw R Analytically Integratable Zero-restlength Springs for Capturing Dynamic Modes unrepresented by Quasistatic Neural Networks ACM SIGGRAPH 2022 Conference Proceedings, (1-9)
  156. CROITORU E, CHIPĂRUS A and LUCHIAN H Punctuated Equilibrium and Neutral Networks in Genetic Algorithms 2022 IEEE Congress on Evolutionary Computation (CEC), (01-08)
  157. Gomez J and Leon E Gabo: Gene Analysis Bitstring Optimization 2022 IEEE Congress on Evolutionary Computation (CEC), (1-8)
  158. Nawaz M, Noor S and Fournier-Viger P Reasoning About Order Crossover in Genetic Algorithms Advances in Swarm Intelligence, (261-271)
  159. ACM
    Tan K, Zantedeschi D, Kumar A and Gaspar A Genetic algorithm cleaning in sequential data mining Proceedings of the Genetic and Evolutionary Computation Conference Companion, (2330-2333)
  160. ACM
    Chitty D Accelerating genetic algorithm evolution via ant-based mutation and crossover for application to large-scale TSPs Proceedings of the Genetic and Evolutionary Computation Conference Companion, (2046-2053)
  161. ACM
    Li S, Peeler H, Sloss A, Reid K and Banzhaf W Genetic improvement in the shackleton framework for optimizing LLVM pass sequences Proceedings of the Genetic and Evolutionary Computation Conference Companion, (1938-1939)
  162. ACM
    Chitty D, Yates W and Keedwell E An edge quality aware crossover operator for application to the capacitated vehicle routing problem Proceedings of the Genetic and Evolutionary Computation Conference Companion, (419-422)
  163. ACM
    Lecarpentier E, Templier P, Rachelson E and Wilson D LUCIE Proceedings of the Genetic and Evolutionary Computation Conference, (730-738)
  164. Matos M, Rocha A, Costa L and Alvelos F A Genetic Algorithm for Forest Firefighting Optimization Computational Science and Its Applications – ICCSA 2022 Workshops, (55-67)
  165. Król A and Sierpiński G (2022). Application of a Genetic Algorithm With a Fuzzy Objective Function for Optimized Siting of Electric Vehicle Charging Devices in Urban Road Networks, IEEE Transactions on Intelligent Transportation Systems, 23:7, (8680-8691), Online publication date: 1-Jul-2022.
  166. Çakır G, Subulan K, Yildiz S, Hamzadayı A and Asılkefeli C (2022). A comparative study of modeling and solution approaches for the multi-mode resource-constrained discrete time–cost trade-off problem, Computers and Industrial Engineering, 169:C, Online publication date: 1-Jul-2022.
  167. Zhang Z and Yang J (2022). A discrete cuckoo search algorithm for traveling salesman problem and its application in cutting path optimization, Computers and Industrial Engineering, 169:C, Online publication date: 1-Jul-2022.
  168. Kazemi M and Barati R (2022). Application of dimensional analysis and multi-gene genetic programming to predict the performance of tunnel boring machines▪, Applied Soft Computing, 124:C, Online publication date: 1-Jul-2022.
  169. Zhou J and Hua Z (2022). A correlation guided genetic algorithm and its application to feature selection, Applied Soft Computing, 123:C, Online publication date: 1-Jul-2022.
  170. Chiadamrong N and Suthamanondh P (2022). Fuzzy Multi-Objective Chance-Constrained Portfolio Optimization Under Uncertainty Considering Investment Return, Investment Risk, and Sustainability, International Journal of Knowledge and Systems Science, 13:1, (1-39), Online publication date: 14-Jun-2022.
  171. Meng Z and Yang C (2022). Two-stage differential evolution with novel parameter control, Information Sciences: an International Journal, 596:C, (321-342), Online publication date: 1-Jun-2022.
  172. (Rahkar Farshi) T, Agahian S and Dehkharghani R (2022). BinBRO, Expert Systems with Applications: An International Journal, 195:C, Online publication date: 1-Jun-2022.
  173. Thaher T, Chantar H, Too J, Mafarja M, Turabieh H and Houssein E (2022). Boolean Particle Swarm Optimization with various Evolutionary Population Dynamics approaches for feature selection problems, Expert Systems with Applications: An International Journal, 195:C, Online publication date: 1-Jun-2022.
  174. Ahmadianfar I, Heidari A, Noshadian S, Chen H and Gandomi A (2022). INFO, Expert Systems with Applications: An International Journal, 195:C, Online publication date: 1-Jun-2022.
  175. Harrison K, Elsayed S, Weir T, Garanovich I, Boswell S and Sarker R (2022). Solving a novel multi-divisional project portfolio selection and scheduling problem, Engineering Applications of Artificial Intelligence, 112:C, Online publication date: 1-Jun-2022.
  176. Camacho-Villalón C, Dorigo M and Stützle T (2022). An analysis of why cuckoo search does not bring any novel ideas to optimization, Computers and Operations Research, 142:C, Online publication date: 1-Jun-2022.
  177. Zojaji Z, Ebadzadeh M and Nasiri H (2022). Semantic schema based genetic programming for symbolic regression, Applied Soft Computing, 122:C, Online publication date: 1-Jun-2022.
  178. Zhang Y and Jin Z (2022). Comprehensive learning Jaya algorithm for engineering design optimization problems, Journal of Intelligent Manufacturing, 33:5, (1229-1253), Online publication date: 1-Jun-2022.
  179. Yıldız B, Pholdee N, Panagant N, Bureerat S, Yildiz A and Sait S (2022). A novel chaotic Henry gas solubility optimization algorithm for solving real-world engineering problems, Engineering with Computers, 38:Suppl 2, (871-883), Online publication date: 1-Jun-2022.
  180. Gao R, Zhang X, Zhang H, Zhao Q and Wang Y (2022). Forecasting the overnight return direction of stock market index combining global market indices, Expert Systems with Applications: An International Journal, 194:C, Online publication date: 15-May-2022.
  181. Braik M, Hammouri A, Atwan J, Al-Betar M and Awadallah M (2022). White Shark Optimizer, Knowledge-Based Systems, 243:C, Online publication date: 11-May-2022.
  182. ACM
    Diller A and Fredericks E Towards run-time search for real-world multi-agent systems Proceedings of the 15th Workshop on Search-Based Software Testing, (14-15)
  183. Zarouk Y, Mahdavi I, Rezaeian J and Santos-Arteaga F (2022). A novel multi-objective green vehicle routing and scheduling model with stochastic demand, supply, and variable travel times, Computers and Operations Research, 141:C, Online publication date: 1-May-2022.
  184. Weide T, Deng Q and Santos B (2022). Robust long-term aircraft heavy maintenance check scheduling optimization under uncertainty, Computers and Operations Research, 141:C, Online publication date: 1-May-2022.
  185. Verdier C, Kochdumper N, Althoff M and Mazo M (2022). Formal synthesis of closed-form sampled-data controllers for nonlinear continuous-time systems under STL specifications, Automatica (Journal of IFAC), 139:C, Online publication date: 1-May-2022.
  186. Gutowski N, Schang D, Camp O and Abraham P (2022). A novel multi-objective medical feature selection compass method for binary classification, Artificial Intelligence in Medicine, 127:C, Online publication date: 1-May-2022.
  187. Kumar S, Jangir P, Tejani G and Premkumar M (2022). MOTEO, Knowledge-Based Systems, 242:C, Online publication date: 22-Apr-2022.
  188. Liu J, Liu X, Wu Y, Yang Z and Xu J (2022). Dynamic multi-swarm differential learning harris hawks optimizer and its application to optimal dispatch problem of cascade hydropower stations, Knowledge-Based Systems, 242:C, Online publication date: 22-Apr-2022.
  189. Zhong C and Li G (2022). Comprehensive learning Harris hawks-equilibrium optimization with terminal replacement mechanism for constrained optimization problems, Expert Systems with Applications: An International Journal, 192:C, Online publication date: 15-Apr-2022.
  190. Zhang L, Wang L, Yang B, Niu S, Han Y and Oh S (2022). Rapid construction of 4D high-quality microstructural image for cement hydration using partial information registration, Pattern Recognition, 124:C, Online publication date: 1-Apr-2022.
  191. Li S, Zhong C and Luo X (2022). Locating critical slip surfaces of soil slopes with heuristic algorithms, Expert Systems with Applications: An International Journal, 191:C, Online publication date: 1-Apr-2022.
  192. Abualigah L, Elaziz M, Sumari P, Geem Z and Gandomi A (2022). Reptile Search Algorithm (RSA), Expert Systems with Applications: An International Journal, 191:C, Online publication date: 1-Apr-2022.
  193. Ezugwu A, Ikotun A, Oyelade O, Abualigah L, Agushaka J, Eke C and Akinyelu A (2022). A comprehensive survey of clustering algorithms, Engineering Applications of Artificial Intelligence, 110:C, Online publication date: 1-Apr-2022.
  194. Silva A, Valente J and Schaller J (2022). Metaheuristics for the permutation flowshop problem with a weighted quadratic tardiness objective, Computers and Operations Research, 140:C, Online publication date: 1-Apr-2022.
  195. Hemmasian A, Meidani K, Mirjalili S and Barati Farimani A (2022). VecMetaPy, Advances in Engineering Software, 166:C, Online publication date: 1-Apr-2022.
  196. Lima A, Júnior G, de Almeida J, de Paiva A and Veras R (2022). An automated CNN architecture search for glaucoma diagnosis based on NEAT, Multimedia Tools and Applications, 81:10, (13441-13465), Online publication date: 1-Apr-2022.
  197. Aliakbari A, Rashidi Komijan A, Tavakkoli-Moghaddam R and Najafi E (2022). A new robust optimization model for relief logistics planning under uncertainty: a real-case study, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 26:8, (3883-3901), Online publication date: 1-Apr-2022.
  198. Luat N, Shin J and Lee K (2022). Hybrid BART-based models optimized by nature-inspired metaheuristics to predict ultimate axial capacity of CCFST columns, Engineering with Computers, 38:2, (1421-1450), Online publication date: 1-Apr-2022.
  199. ACM
    Neri F Coevolution and learning symbolic concepts: statistical validation Proceedings of the 2022 7th International Conference on Machine Learning Technologies, (244-248)
  200. Satrya G and Shin S (2022). Evolutionary computing approach to optimize superframe scheduling on industrial wireless sensor networks, Journal of King Saud University - Computer and Information Sciences, 34:3, (706-715), Online publication date: 1-Mar-2022.
  201. Song S, Wang P, Heidari A, Zhao X and Chen H (2022). Adaptive Harris hawks optimization with persistent trigonometric differences for photovoltaic model parameter extraction, Engineering Applications of Artificial Intelligence, 109:C, Online publication date: 1-Mar-2022.
  202. Liu X, Wang N, Molina D and Herrera F (2022). A least square support vector machine approach based on bvRNA-GA for modeling photovoltaic systems, Applied Soft Computing, 117:C, Online publication date: 1-Mar-2022.
  203. Rahman M, Duary A, Khan M, Shaikh A and Bhunia A (2022). Interval valued demand related inventory model under all units discount facility and deterioration via parametric approach, Artificial Intelligence Review, 55:3, (2455-2494), Online publication date: 1-Mar-2022.
  204. Ma M, Yang J and Liu R (2022). A novel structure automatic-determined Fourier extreme learning machine for generalized Black–Scholes partial differential equation, Knowledge-Based Systems, 238:C, Online publication date: 28-Feb-2022.
  205. Mfenjou M, Ari A, Njoya A, Mbogne D, Kolyang , Abdou W and Spies F (2022). Control points deployment in an Intelligent Transportation System for monitoring inter-urban network roadway, Journal of King Saud University - Computer and Information Sciences, 34:2, (16-26), Online publication date: 1-Feb-2022.
  206. Dahi Z, Alba E and Luque G (2022). A takeover time-driven adaptive evolutionary algorithm for mobile user tracking in pre-5G cellular networks, Applied Soft Computing, 116:C, Online publication date: 1-Feb-2022.
  207. de Moraes L, Parpinelli R and Fiorese A (2022). Application of deterministic, stochastic, and hybrid methods for cloud provider selection, Journal of Cloud Computing: Advances, Systems and Applications, 11:1, Online publication date: 28-Jan-2022.
  208. Liu F, Wang H, Zhang J, Fu Z, Zhou A, Qi J and Li Z (2022). EvoGAN, Neurocomputing, 469:C, (81-90), Online publication date: 16-Jan-2022.
  209. Albert D and Siggelkow N (2022). Architectural Search and Innovation, Organization Science, 33:1, (275-292), Online publication date: 1-Jan-2022.
  210. Rafai A, Adzhar N, Jaini N and Ding B (2022). A Review on Path Planning and Obstacle Avoidance Algorithms for Autonomous Mobile Robots, Journal of Robotics, 2022, Online publication date: 1-Jan-2022.
  211. Ebrahimi E, Abdollahzadeh G and Jahani E (2022). Developing the structural analysis considering fuzzy performance levels, Applied Soft Computing, 115:C, Online publication date: 1-Jan-2022.
  212. Li-li L, Kun C, Jian-min G, Jun-kong L, Zhi-yong G and Hong-wei D (2023). Research on optimizing-assembly and optimizing-adjustment technologies of aero-engine fan rotor blades, Advanced Engineering Informatics, 51:C, Online publication date: 1-Jan-2022.
  213. Abo-bakr R, Mohamed N and Mohamed S (2022). Meta-heuristic algorithms for solving nonlinear differential equations based on multivariate Bernstein polynomials, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 26:2, (605-619), Online publication date: 1-Jan-2022.
  214. Liu H and Chen X (2021). Rough approximation‐based inventory optimization with random prices for B2C companies during the promotion period, International Journal of Intelligent Systems, 37:2, (1408-1429), Online publication date: 28-Dec-2022.
  215. ACM
    Li F, Sherazi S, Zhang Y and Wu Z A new Multi-scale Dilated deep ResNet model for Classification of Lung Nodules in CT images 2021 the 7th International Conference on Communication and Information Processing (ICCIP), (89-95)
  216. Fyvie M, McCall J and Christie L Towards Explainable Metaheuristics: PCA for Trajectory Mining in Evolutionary Algorithms Artificial Intelligence XXXVIII, (89-102)
  217. Jackson I and Velázquez-Martínez J Automl approach to classification of candidate solutions for simulation models of logistic systems Proceedings of the Winter Simulation Conference, (1-12)
  218. Gong J A Novel Oversampling Technique for Imbalanced Learning Based on SMOTE and Genetic Algorithm Neural Information Processing, (201-212)
  219. Sri Raghavendra M, Chawla P and Singh Gill S (2021). DEEDSP, Transactions on Emerging Telecommunications Technologies, 32:12, Online publication date: 8-Dec-2021.
  220. Dehghani H and Zilian A (2021). A hybrid MGA-MSGD ANN training approach for approximate solution of linear elliptic PDEs, Mathematics and Computers in Simulation, 190:C, (398-417), Online publication date: 1-Dec-2021.
  221. Li Z, Chang V, Hu H, Fu M, Ge J and Piccialli F (2021). Optimizing makespan and resource utilization for multi-DNN training in GPU cluster, Future Generation Computer Systems, 125:C, (206-220), Online publication date: 1-Dec-2021.
  222. Madadi B, van Nes R, Snelder M and van Arem B (2022). Multi-stage optimal design of road networks for automated vehicles with elastic multi-class demand, Computers and Operations Research, 136:C, Online publication date: 1-Dec-2021.
  223. Thawkar S, Sharma S, Khanna M and Singh L (2021). Breast cancer prediction using a hybrid method based on Butterfly Optimization Algorithm and Ant Lion Optimizer, Computers in Biology and Medicine, 139:C, Online publication date: 1-Dec-2021.
  224. Ozkan O (2022). Optimization of the distance-constrained multi-based multi-UAV routing problem with simulated annealing and local search-based matheuristic to detect forest fires, Applied Soft Computing, 113:PB, Online publication date: 1-Dec-2021.
  225. Brown A, Montgomery J and Garg S (2022). Automatic construction of accurate bioacoustics workflows under time constraints using a surrogate model, Applied Soft Computing, 113:PB, Online publication date: 1-Dec-2021.
  226. Kumar J and Singh A (2022). Performance evaluation of metaheuristics algorithms for workload prediction in cloud environment, Applied Soft Computing, 113:PA, Online publication date: 1-Dec-2021.
  227. Deliktaş D, Özcan E, Ustun O and Torkul O (2022). Evolutionary algorithms for multi-objective flexible job shop cell scheduling, Applied Soft Computing, 113:PA, Online publication date: 1-Dec-2021.
  228. Qian H and Yu Y (2021). Derivative-free reinforcement learning: a review, Frontiers of Computer Science: Selected Publications from Chinese Universities, 15:6, Online publication date: 1-Dec-2021.
  229. Oszust M (2021). Enhanced Marine Predators Algorithm with Local Escaping Operator for Global Optimization, Knowledge-Based Systems, 232:C, Online publication date: 28-Nov-2021.
  230. Aditya Shastry K and H.A. S (2021). A modified genetic algorithm and weighted principal component analysis based feature selection and extraction strategy in agriculture, Knowledge-Based Systems, 232:C, Online publication date: 28-Nov-2021.
  231. Niu B, Xue B, Zhou T and Kustudic M (2021). Aviation maintenance technician scheduling with personnel satisfaction based on interactive multi‐swarm bacterial foraging optimization, International Journal of Intelligent Systems, 37:1, (723-747), Online publication date: 23-Nov-2021.
  232. Çelik E, Öztürk N and Arya Y (2022). Advancement of the search process of salp swarm algorithm for global optimization problems, Expert Systems with Applications: An International Journal, 182:C, Online publication date: 15-Nov-2021.
  233. Dittrich J, Nix J and Schön C (2021). The next 50 years in database indexing or, Proceedings of the VLDB Endowment, 15:3, (527-540), Online publication date: 1-Nov-2021.
  234. Abdelaal M, Farag R, Saad M, Bahgat A, Emara H and El-Dessouki A (2021). Uncalibrated stereo vision with deep learning for 6-DOF pose estimation for a robot arm system, Robotics and Autonomous Systems, 145:C, Online publication date: 1-Nov-2021.
  235. Li Z, Chang V, Hu H, Yu D, Ge J and Huang B (2021). Profit maximization for security-aware task offloading in edge-cloud environment, Journal of Parallel and Distributed Computing, 157:C, (43-55), Online publication date: 1-Nov-2021.
  236. Tang L, D’Ariano A, Xu X, Li Y, Ding X and Samà M (2021). Scheduling local and express trains in suburban rail transit lines, Computers and Operations Research, 135:C, Online publication date: 1-Nov-2021.
  237. Robles-Velasco A, Muñuzuri J, Onieva L and Cortés P (2021). An evolutionary fuzzy system to support the replacement policy in water supply networks, Applied Soft Computing, 111:C, Online publication date: 1-Nov-2021.
  238. Tao J, Yu Z, Zhang R and Gao F (2021). RBF neural network modeling approach using PCA based LM–GA optimization for coke furnace system, Applied Soft Computing, 111:C, Online publication date: 1-Nov-2021.
  239. Zhang S, Du Q and Zhao S Predicting Cutterhead Torque for TBM based on Different Characteristics and AGA-Optimized LSTM-MLP 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), (1165-1171)
  240. Roos S, Schmidt J and Stork W SBOF: An End-to-End Framework for Simulative Black-Box Optimization of Hybrid Perceptive Functions 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), (1585-1592)
  241. Mihaljević B, Bielza C and Larrañaga P (2021). Bayesian networks for interpretable machine learning and optimization, Neurocomputing, 456:C, (648-665), Online publication date: 7-Oct-2021.
  242. Lopes H and Lima D (2021). Evolutionary Tabu Inverted Ant Cellular Automata with Elitist Inertia for swarm robotics as surrogate method in surveillance task using e-Puck architecture, Robotics and Autonomous Systems, 144:C, Online publication date: 1-Oct-2021.
  243. Jin S, Park Y, Kim S and Park Y (2021). Model updating based on mixed-integer nonlinear programming under model-form uncertainty in finite element model, Engineering with Computers, 37:4, (3699-3725), Online publication date: 1-Oct-2021.
  244. Fukumoto M and Yoshimitsu S Search for a Flavor Suited to Beverage by Interactive Genetic Algorithm Computer Information Systems and Industrial Management, (185-192)
  245. Vávra J, Hromada M, Lukáš L and Dworzecki J (2021). Adaptive anomaly detection system based on machine learning algorithms in an industrial control environment, International Journal of Critical Infrastructure Protection, 34:C, Online publication date: 1-Sep-2021.
  246. Dai Y and Qin Z (2021). Multi-period uncertain portfolio optimization model with minimum transaction lots and dynamic risk preference, Applied Soft Computing, 109:C, Online publication date: 1-Sep-2021.
  247. Qiu T, Hu H, Chen R, Zhou Q, Guan Q and Li X (2021). A multi-root solver for discontinuous and non-differentiable equations by integrating genetic algorithm and derivative-free iterative methods, Applied Soft Computing, 109:C, Online publication date: 1-Sep-2021.
  248. Hu Z, Gao C and Su Q (2021). A novel evolutionary algorithm based on even difference grey model, Expert Systems with Applications: An International Journal, 176:C, Online publication date: 15-Aug-2021.
  249. Wang S, Li X, Gao L and Wang L An Improved Genetic Algorithm for Distributed Job Shop Scheduling Problem Intelligent Computing Theories and Application, (37-47)
  250. Arnold F, Santana Í, Sörensen K and Vidal T (2021). PILS, Pattern Recognition, 116:C, Online publication date: 1-Aug-2021.
  251. Chong H, Tan S and Yap H (2021). Hybridization of harmonic search algorithm in training radial basis function with dynamic decay adjustment for condition monitoring, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 25:15, (10221-10235), Online publication date: 1-Aug-2021.
  252. Chong H, Yap H, Tan S, Yap K and Wong S (2021). Advances of metaheuristic algorithms in training neural networks for industrial applications, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 25:16, (11209-11233), Online publication date: 1-Aug-2021.
  253. Dinkar S, Deep K, Mirjalili S and Thapliyal S (2021). Opposition-based Laplacian Equilibrium Optimizer with application in Image Segmentation using Multilevel Thresholding, Expert Systems with Applications: An International Journal, 174:C, Online publication date: 15-Jul-2021.
  254. ACM
    Chitty D A partially asynchronous global parallel genetic algorithm Proceedings of the Genetic and Evolutionary Computation Conference Companion, (1771-1778)
  255. ACM
    Lehre P and Oliveto P Runtime analysis of evolutionary algorithms Proceedings of the Genetic and Evolutionary Computation Conference Companion, (399-425)
  256. ACM
    Chitty D Partial-ACO as a GA mutation operator applied to TSP instances Proceedings of the Genetic and Evolutionary Computation Conference Companion, (69-70)
  257. Csapo A (2021). Cyclical inverse interpolation, Asian Journal of Control, 23:3, (1301-1312), Online publication date: 2-Jul-2021.
  258. ACM
    Jiang D, Tan C, Peng J, Chen C, Wu X, Zhao W, Song Y, Tong Y, Liu C, Xu Q, Yang Q and Deng L (2021). A GDPR-compliant Ecosystem for Speech Recognition with Transfer, Federated, and Evolutionary Learning, ACM Transactions on Intelligent Systems and Technology, 12:3, (1-19), Online publication date: 30-Jun-2021.
  259. Chitty D An Ant Colony Optimisation Inspired Crossover Operator for Permutation Type Problems 2021 IEEE Congress on Evolutionary Computation (CEC), (57-64)
  260. Soloviev V, Bielza C and Larrañaga P Quantum-Inspired Estimation Of Distribution Algorithm To Solve The Travelling Salesman Problem 2021 IEEE Congress on Evolutionary Computation (CEC), (416-425)
  261. ACM
    Wu J, Srivastava G, Lin J and Teng Q (2021). A Multi-Threshold Ant Colony System-based Sanitization Model in Shared Medical Environments, ACM Transactions on Internet Technology, 21:2, (1-26), Online publication date: 23-Jun-2021.
  262. ACM
    Ding Y, Zhu L, Wang A, Li Y, Wang Y, Yiu S and Gai K (2021). A Multiple Sieve Approach Based on Artificial Intelligent Techniques and Correlation Power Analysis, ACM Transactions on Multimedia Computing, Communications, and Applications, 17:2s, (1-21), Online publication date: 21-Jun-2021.
  263. Nawaz M, Nawaz M, Hasan O, Fournier-Viger P and Sun M (2022). An evolutionary/heuristic-based proof searching framework for interactive theorem prover, Applied Soft Computing, 104:C, Online publication date: 1-Jun-2021.
  264. Maâtouk O, Ayadi W, Bouziri H and Duval B (2022). Evolutionary Local Search Algorithm for the biclustering of gene expression data based on biological knowledge, Applied Soft Computing, 104:C, Online publication date: 1-Jun-2021.
  265. Amutha J, Sharma S and Sharma S (2022). Strategies based on various aspects of clustering in wireless sensor networks using classical, optimization and machine learning techniques, Computer Science Review, 40:C, Online publication date: 1-May-2021.
  266. Martins G, Ferreira D and Ramalho G (2021). Collateral motion saliency-based model for Trypanosoma cruzi detection in dye-free blood microscopy, Computers in Biology and Medicine, 132:C, Online publication date: 1-May-2021.
  267. Long W, Jiao J, Liang X, Wu T, Xu M and Cai S (2021). Pinhole-imaging-based learning butterfly optimization algorithm for global optimization and feature selection, Applied Soft Computing, 103:C, Online publication date: 1-May-2021.
  268. Sun P, Liu H, Zhang Y, Meng Q, Tu L and Zhao J (2021). An improved atom search optimization with dynamic opposite learning and heterogeneous comprehensive learning, Applied Soft Computing, 103:C, Online publication date: 1-May-2021.
  269. Bacalhau E, Casacio L and de Azevedo A (2021). New hybrid genetic algorithms to solve dynamic berth allocation problem, Expert Systems with Applications: An International Journal, 167:C, Online publication date: 1-Apr-2021.
  270. Liu C, Chen H, Li X and Liu Z (2021). A scheduling decision support model for minimizing the number of drones with dynamic package arrivals and personalized deadlines, Expert Systems with Applications: An International Journal, 167:C, Online publication date: 1-Apr-2021.
  271. Doan Q, Le T and Thai D (2021). Optimization strategies of neural networks for impact damage classification of RC panels in a small dataset, Applied Soft Computing, 102:C, Online publication date: 1-Apr-2021.
  272. Pandey H, Trovati M and Bessis N (2021). Statistical exploratory analysis of mask-fill reproduction operators of Genetic Algorithms, Applied Soft Computing, 102:C, Online publication date: 1-Apr-2021.
  273. Habib Zahmani M and Atmani B (2021). Multiple dispatching rules allocation in real time using data mining, genetic algorithms, and simulation, Journal of Scheduling, 24:2, (175-196), Online publication date: 1-Apr-2021.
  274. ACM
    Corus D, Lissovoi A, Oliveto P and Witt C (2021). On Steady-State Evolutionary Algorithms and Selective Pressure: Why Inverse Rank-Based Allocation of Reproductive Trials Is Best, ACM Transactions on Evolutionary Learning and Optimization, 1:1, (1-38), Online publication date: 31-Mar-2021.
  275. ACM
    de Oliveira G, Pedrini H and Dias Z Protein secondary structure prediction based on fusion of machine learning classifiers Proceedings of the 36th Annual ACM Symposium on Applied Computing, (26-29)
  276. Wu J, Srivastava G, Yun U, Tayeb S and Lin J (2021). An evolutionary computation‐based privacy‐preserving data mining model under a multithreshold constraint, Transactions on Emerging Telecommunications Technologies, 32:3, Online publication date: 15-Mar-2021.
  277. Ebrahimi Zade A, Shahabi Haghighi S and Soltani M (2021). A neuro evolutionary algorithm for patient calibrated prediction of survival in Glioblastoma patients, Journal of Biomedical Informatics, 115:C, Online publication date: 1-Mar-2021.
  278. Tzanetos A and Dounias G (2021). Nature inspired optimization algorithms or simply variations of metaheuristics?, Artificial Intelligence Review, 54:3, (1841-1862), Online publication date: 1-Mar-2021.
  279. Bouchekara H (2021). Electric Charged Particles Optimization and its application to the optimal design of a circular antenna array, Artificial Intelligence Review, 54:3, (1767-1802), Online publication date: 1-Mar-2021.
  280. MiarNaeimi F, Azizyan G and Rashki M (2022). Horse herd optimization algorithm, Knowledge-Based Systems, 213:C, Online publication date: 15-Feb-2021.
  281. Wu Y, Liu J, Zhu C, Bai Z, Miao Q, Ma W and Gong M (2020). Computational Intelligence in Remote Sensing Image Registration: A survey, International Journal of Automation and Computing, 18:1, (1-17), Online publication date: 1-Feb-2021.
  282. Cheng S, Ma L, Lu H, Lei X and Shi Y (2021). Evolutionary computation for solving search-based data analytics problems, Artificial Intelligence Review, 54:2, (1321-1348), Online publication date: 1-Feb-2021.
  283. Sun C, Gao F and Khalil A (2021). A Tent Marine Predators Algorithm with Estimation Distribution Algorithm and Gaussian Random Walk for Continuous Optimization Problems, Computational Intelligence and Neuroscience, 2021, Online publication date: 1-Jan-2021.
  284. Lin J, Djenouri Y, Srivastava G, Fournier-Viger P and Xue X (2021). Mining Profitable and Concise Patterns in Large-Scale Internet of Things Environments, Wireless Communications & Mobile Computing, 2021, Online publication date: 1-Jan-2021.
  285. Taghavi A, Khaleghparast S, Eshghi K and Cheong S (2021). Optimal Agent Framework, Complexity, 2021, Online publication date: 1-Jan-2021.
  286. Khalaf J, Majeed A, Aldlemy M, Ali Z, Al Zand A, Adarsh S, Bouaissi A, Hameed M, Yaseen Z and Al-Emran M (2021). Hybridized Deep Learning Model for Perfobond Rib Shear Strength Connector Prediction, Complexity, 2021, Online publication date: 1-Jan-2021.
  287. Tang A, Tang S, Han T, Zhou H, Xie L and Liu H (2021). A Modified Slime Mould Algorithm for Global Optimization, Computational Intelligence and Neuroscience, 2021, Online publication date: 1-Jan-2021.
  288. Bai Y, Hu Q, Ho T, Guo H and Mao B (2020). Timetable Optimization for Metro Lines Connecting to Intercity Railway Stations to Minimize Passenger Waiting Time, IEEE Transactions on Intelligent Transportation Systems, 22:1, (79-90), Online publication date: 1-Jan-2021.
  289. Wang A, Li Y, Ding Y, Zhu L and Wang Y (2021). Efficient Framework for Genetic Algorithm-Based Correlation Power Analysis, IEEE Transactions on Information Forensics and Security, 16, (4882-4894), Online publication date: 1-Jan-2021.
  290. Rashid K, Louis J and Swanson C Optimizing labor allocation in modular construction factory using discrete event simulation and genetic algorithm Proceedings of the Winter Simulation Conference, (2569-2576)
  291. Rolf B, Reggelin T, Nahhas A, Müller M and Lang S Scheduling jobs in a two-stage hybrid flow shop with a simulation-based genetic algorithm and standard dispatching rules Proceedings of the Winter Simulation Conference, (1584-1595)
  292. García-Vico Á, Carmona C, González P, Seker H and Jesus M (2020). FEPDS: A Proposal for the Extraction of Fuzzy Emerging Patterns in Data Streams, IEEE Transactions on Fuzzy Systems, 28:12, (3193-3203), Online publication date: 1-Dec-2020.
  293. Chan Y, Hong C, Tsai M, Chang Y and Sun P (2020). Image-based stroke rat brain atrophy volume and infarct volume computation, The Journal of Supercomputing, 76:12, (10090-10121), Online publication date: 1-Dec-2020.
  294. Türkyılmaz A, Şenvar Ö, Ünal İ and Bulkan S (2020). A research survey: heuristic approaches for solving multi objective flexible job shop problems, Journal of Intelligent Manufacturing, 31:8, (1949-1983), Online publication date: 1-Dec-2020.
  295. Khan T and Ling S (2020). A survey of the state-of-the-art swarm intelligence techniques and their application to an inverse design problem, Journal of Computational Electronics, 19:4, (1606-1628), Online publication date: 1-Dec-2020.
  296. Frid A and Manevitz L (2019). Analyzing cognitive processes from complex neuro-physiologically based data: some lessons, Annals of Mathematics and Artificial Intelligence, 88:11-12, (1125-1153), Online publication date: 1-Dec-2020.
  297. ACM
    Doan D, Pham M and Dang D Predicting RNA secondary structure based on machine learning and genetic algorithm Proceedings of the 4th International Conference on Future Networks and Distributed Systems, (1-12)
  298. Ghosh S and Bhattacharya S (2020). A data-driven understanding of COVID-19 dynamics using sequential genetic algorithm based probabilistic cellular automata, Applied Soft Computing, 96:C, Online publication date: 1-Nov-2020.
  299. Kuo R, Amornnikun P and Nguyen T (2020). Metaheuristic-based possibilistic multivariate fuzzy weighted c-means algorithms for market segmentation, Applied Soft Computing, 96:C, Online publication date: 1-Nov-2020.
  300. Mousavirad S, Ebrahimpour-Komleh H and Schaefer G (2020). Automatic clustering using a local search-based human mental search algorithm for image segmentation, Applied Soft Computing, 96:C, Online publication date: 1-Nov-2020.
  301. Shoja A, Molla-Alizadeh-Zavardehi S and Niroomand S (2020). Hybrid adaptive simplified human learning optimization algorithms for supply chain network design problem with possibility of direct shipment, Applied Soft Computing, 96:C, Online publication date: 1-Nov-2020.
  302. Laimeche L, Meraoumia A and Bendjenna H (2020). Enhancing LSB embedding schemes using chaotic maps systems, Neural Computing and Applications, 32:21, (16605-16623), Online publication date: 1-Nov-2020.
  303. Goel L (2020). An extensive review of computational intelligence-based optimization algorithms: trends and applications, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 24:21, (16519-16549), Online publication date: 1-Nov-2020.
  304. ACM
    Albaqsami A, Hosseini M, Jasemi M and Bagherzadeh N (2020). Adaptive HTF-MPR, ACM Transactions on Intelligent Systems and Technology, 11:5, (1-25), Online publication date: 31-Oct-2020.
  305. Cagnini H, Freitas A and Barros R An Evolutionary Algorithm for Learning Interpretable Ensembles of Classifiers Intelligent Systems, (18-33)
  306. ACM
    Siouda R, Nemissi M and Seridi H A genetic algorithm-based deep RBF neural network for medical classification Proceedings of the 1st International Conference on Intelligent Systems and Pattern Recognition, (27-32)
  307. ACM
    Jing Z, Xue H, Zhang S and Wu M Mapping the Structure and Evolution of Genetic Algorithm Research Proceedings of the 2nd International Conference on Artificial Intelligence and Advanced Manufacture, (100-106)
  308. Wang W and Campbell A Layout Optimisation for Command Spaces with Unequal-sized Workstations Using a Genetic Algorithm 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), (4327-4333)
  309. Gupta N, Khosravy M, Patel N, Dey N and Mahela O (2020). Mendelian evolutionary theory optimization algorithm, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 24:19, (14345-14390), Online publication date: 1-Oct-2020.
  310. Wiktorowicz K and Krzeszowski T (2020). Approximation of two-variable functions using high-order Takagi–Sugeno fuzzy systems, sparse regressions, and metaheuristic optimization, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 24:20, (15113-15127), Online publication date: 1-Oct-2020.
  311. Yuan C and Moayedi H (2019). Evaluation and comparison of the advanced metaheuristic and conventional machine learning methods for the prediction of landslide occurrence, Engineering with Computers, 36:4, (1801-1811), Online publication date: 1-Oct-2020.
  312. Yuan C and Moayedi H (2019). The performance of six neural-evolutionary classification techniques combined with multi-layer perception in two-layered cohesive slope stability analysis and failure recognition, Engineering with Computers, 36:4, (1705-1714), Online publication date: 1-Oct-2020.
  313. Ameli M, Lebacque J and Leclercq L (2020). Simulation‐based dynamic traffic assignment, Computer-Aided Civil and Infrastructure Engineering, 35:10, (1047-1062), Online publication date: 19-Sep-2020.
  314. Sabol P, Sinčák P, Hartono P, Kočan P, Benetinová Z, Blichárová A, Verbóová Ľ, Štammová E, Sabolová-Fabianová A and Jašková A (2020). Explainable classifier for improving the accountability in decision-making for colorectal cancer diagnosis from histopathological images, Journal of Biomedical Informatics, 109:C, Online publication date: 1-Sep-2020.
  315. Pedersen T and Johansen C (2019). Behavioural artificial intelligence: an agenda for systematic empirical studies of artificial inference, AI & Society, 35:3, (519-532), Online publication date: 1-Sep-2020.
  316. Moysen J and García-Lozano M (2020). Learning-Based Tracking Area List Management in 4G and 5G Networks, IEEE Transactions on Mobile Computing, 19:8, (1862-1878), Online publication date: 1-Aug-2020.
  317. Hancer E, Xue B and Zhang M (2020). A survey on feature selection approaches for clustering, Artificial Intelligence Review, 53:6, (4519-4545), Online publication date: 1-Aug-2020.
  318. Duary A, Rahman M, Shaikh A, Niaki S and Bhunia A (2020). A new hybrid algorithm to solve bound-constrained nonlinear optimization problems, Neural Computing and Applications, 32:16, (12427-12452), Online publication date: 1-Aug-2020.
  319. Yilmaz S and Sen S (2019). Electric fish optimization: a new heuristic algorithm inspired by electrolocation, Neural Computing and Applications, 32:15, (11543-11578), Online publication date: 1-Aug-2020.
  320. Lytras M, Visvizi A and Jussila J (2020). Social media mining for smart cities and smart villages research, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 24:15, (10983-10987), Online publication date: 1-Aug-2020.
  321. Sala R and Müller R Benchmarking for Metaheuristic Black-Box Optimization: Perspectives and Open Challenges 2020 IEEE Congress on Evolutionary Computation (CEC), (1-8)
  322. Olivas F, Amaya I, Ortiz-Bayliss J, Conant-Pablos S and Terashima-Marin H A Fuzzy Hyper-Heuristic Approach for the 0-1 Knapsack Problem 2020 IEEE Congress on Evolutionary Computation (CEC), (1-8)
  323. Sala R and Müller R Benchmarking for Metaheuristic Black-Box Optimization: Perspectives and Open Challenges 2020 IEEE Congress on Evolutionary Computation (CEC), (1-8)
  324. Bhattacharyya S, Dutta T and Dey S Multilevel Quantum Inspired Fractional Order Ant Colony Optimization for Automatic Clustering of Hyperspectral Images 2020 IEEE Congress on Evolutionary Computation (CEC), (1-8)
  325. Bolufé-Röhler A and Chen S A Multi-Population Exploration-only Exploitation-only Hybrid on CEC-2020 Single Objective Bound Constrained Problems 2020 IEEE Congress on Evolutionary Computation (CEC), (1-8)
  326. Chen M, Ou Y, Qiu X and Wang H An Effective Bacterial Foraging Optimization Based on Conjugation and Novel Step-Size Strategies Artificial Intelligence and Security, (362-374)
  327. ACM
    Sudholt D and Squillero G Theory and practice of population diversity in evolutionary computation Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, (975-992)
  328. Talatahari S and Azizi M (2021). Optimization of constrained mathematical and engineering design problems using chaos game optimization, Computers and Industrial Engineering, 145:C, Online publication date: 1-Jul-2020.
  329. Bajaj I and Hasan M (2020). Global dynamic optimization using edge-concave underestimator, Journal of Global Optimization, 77:3, (487-512), Online publication date: 1-Jul-2020.
  330. Chen W, Sarir P, Bui X, Nguyen H, Tahir M and Jahed Armaghani D (2019). Neuro-genetic, neuro-imperialism and genetic programing models in predicting ultimate bearing capacity of pile, Engineering with Computers, 36:3, (1101-1115), Online publication date: 1-Jul-2020.
  331. ACM
    Wittenberg D, Rothlauf F and Schweim D DAE-GP Proceedings of the 2020 Genetic and Evolutionary Computation Conference, (1037-1045)
  332. Vera-Rivera F, Puerto-Cuadros E, Astudillo H and Gaona-Cuevas C Microservices Backlog - A Model of Granularity Specification and Microservice Identification Services Computing – SCC 2020, (85-102)
  333. Lahmiri S (2020). A predictive system integrating intrinsic mode functions, artificial neural networks, and genetic algorithms for forecasting S&P500 intra‐day data, International Journal of Intelligent Systems in Accounting and Finance Management, 27:2, (55-65), Online publication date: 12-Jun-2020.
  334. Aloud M (2020). The role of attribute selection in Deep ANNs learning framework for high‐frequency financial trading, International Journal of Intelligent Systems in Accounting and Finance Management, 27:2, (43-54), Online publication date: 12-Jun-2020.
  335. Küçükuğurlu B and Gedikli E (2020). Symbiotic Organisms Search Algorithm for multilevel thresholding of images, Expert Systems with Applications: An International Journal, 147:C, Online publication date: 1-Jun-2020.
  336. Moghaddasi S and Faraji N (2020). A hybrid algorithm based on particle filter and genetic algorithm for target tracking, Expert Systems with Applications: An International Journal, 147:C, Online publication date: 1-Jun-2020.
  337. Abduljabbar D, Hashim S and Sallehuddin R (2020). Nature-inspired optimization algorithms for community detection in complex networks: a review and future trends, Telecommunications Systems, 74:2, (225-252), Online publication date: 1-Jun-2020.
  338. O’Neill M and Spector L (2019). Automatic programming: The open issue?, Genetic Programming and Evolvable Machines, 21:1-2, (251-262), Online publication date: 1-Jun-2020.
  339. Talebian H, Gani A, Sookhak M, Abdelatif A, Yousafzai A, Vasilakos A and Yu F (2020). Optimizing virtual machine placement in IaaS data centers: taxonomy, review and open issues, Cluster Computing, 23:2, (837-878), Online publication date: 1-Jun-2020.
  340. Salehi M, Maleki H and Niroomand S (2019). Solving a new cost-oriented assembly line balancing problem by classical and hybrid meta-heuristic algorithms, Neural Computing and Applications, 32:12, (8217-8243), Online publication date: 1-Jun-2020.
  341. Khatri A, Gaba A, Rana K and Kumar V (2019). A novel life choice-based optimizer, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 24:12, (9121-9141), Online publication date: 1-Jun-2020.
  342. Liang Y and Wang L (2019). Applying genetic algorithm and ant colony optimization algorithm into marine investigation path planning model, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 24:11, (8199-8210), Online publication date: 1-Jun-2020.
  343. Shih C, Horng M and Chen C (2019). A parallel genetic approach to path-planning with upstream-current avoidance for multi-AUG deployment, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 24:11, (8427-8441), Online publication date: 1-Jun-2020.
  344. Karimi F, Lotfi S and Izadkhah H (2020). Multiplex community detection in complex networks using an evolutionary approach, Expert Systems with Applications: An International Journal, 146:C, Online publication date: 15-May-2020.
  345. Dutta D, Sil J and Dutta P (2020). A bi-phased multi-objective genetic algorithm based classifier, Expert Systems with Applications: An International Journal, 146:C, Online publication date: 15-May-2020.
  346. Ding Y, Shi Y, Wang A, Wang Y and Zhang G (2020). Block-oriented correlation power analysis with bitwise linear leakage, Future Generation Computer Systems, 106:C, (34-42), Online publication date: 1-May-2020.
  347. Bowers K, Fredericks E, Hariri R and H. C. Cheng B (2020). Providentia, Journal of Systems and Software, 162:C, Online publication date: 1-Apr-2020.
  348. Quang Dinh V, Munir F, Azam S, Yow K and Jeon M (2020). Transfer learning for vehicle detection using two cameras with different focal lengths, Information Sciences: an International Journal, 514:C, (71-87), Online publication date: 1-Apr-2020.
  349. Liu Y, Dehghani E, Jabalameli M, Diabat A and Lu C (2020). A coordinated location-inventory problem with supply disruptions, Computers and Industrial Engineering, 142:C, Online publication date: 1-Apr-2020.
  350. ACM
    Nawaz M, Hasan O, Nawaz M, Fournier-Viger P and Sun M Proof searching in HOL4 with genetic algorithm Proceedings of the 35th Annual ACM Symposium on Applied Computing, (513-520)
  351. Abderazek H, Yildiz A and Mirjalili S (2020). Comparison of recent optimization algorithms for design optimization of a cam-follower mechanism, Knowledge-Based Systems, 191:C, Online publication date: 5-Mar-2020.
  352. Faramarzi A, Heidarinejad M, Stephens B and Mirjalili S (2020). Equilibrium optimizer, Knowledge-Based Systems, 191:C, Online publication date: 5-Mar-2020.
  353. Trejo-Sánchez J, Fajardo-Delgado D and Gutierrez-Garcia J (2020). A Genetic Algorithm for the Maximum 2–Packing Set Problem, International Journal of Applied Mathematics and Computer Science, 30:1, (173-184), Online publication date: 1-Mar-2020.
  354. Martignoni D, Keil T and Lang M (2020). Focus in Searching Core–Periphery Structures, Organization Science, 31:2, (266-286), Online publication date: 1-Mar-2020.
  355. Afridi M, Azam N and Yao J (2020). Variance based three-way clustering approaches for handling overlapping clustering, International Journal of Approximate Reasoning, 118:C, (47-63), Online publication date: 1-Mar-2020.
  356. D’Ambrosio A, Spiller D and Curti F (2020). Improved magnetic charged system search optimization algorithm with application to satellite formation flying, Engineering Applications of Artificial Intelligence, 89:C, Online publication date: 1-Mar-2020.
  357. Costa A, Cappadonna F and Fichera S (2020). Minimizing makespan in a Flow Shop Sequence Dependent Group Scheduling problem with blocking constraint, Engineering Applications of Artificial Intelligence, 89:C, Online publication date: 1-Mar-2020.
  358. Wang L, Wang P, Liang S, Zhu Y, Khan J and Fang S (2020). Monitoring maize growth on the North China Plain using a hybrid genetic algorithm-based back-propagation neural network model, Computers and Electronics in Agriculture, 170:C, Online publication date: 1-Mar-2020.
  359. Ferhati H and Djeffal F (2019). Plasmonic effect of metal nanoparticles on enhancing performance of transparent electrodes: a computational investigation, Journal of Computational Electronics, 19:1, (333-341), Online publication date: 1-Mar-2020.
  360. Artime Ríos E, Suárez Sánchez A, Sánchez Lasheras F and Seguí Crespo M (2018). Genetic algorithm based on support vector machines for computer vision syndrome classification in health personnel, Neural Computing and Applications, 32:5, (1239-1248), Online publication date: 1-Mar-2020.
  361. Liu G, Chen Z, Zhuang Z, Guo W and Chen G (2019). A unified algorithm based on HTS and self-adapting PSO for the construction of octagonal and rectilinear SMT, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 24:6, (3943-3961), Online publication date: 1-Mar-2020.
  362. Kumar A and Bawa S (2019). A comparative review of meta-heuristic approaches to optimize the SLA violation costs for dynamic execution of cloud services, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 24:6, (3909-3922), Online publication date: 1-Mar-2020.
  363. Michell K and Kristjanpoller W (2019). Generating trading rules on US Stock Market using strongly typed genetic programming, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 24:5, (3257-3274), Online publication date: 1-Mar-2020.
  364. Cao Z, Kuenning G and Zadok E Carver Proceedings of the 18th USENIX Conference on File and Storage Technologies, (43-58)
  365. Yazdani D, Omidvar M, Branke J, Nguyen T and Yao X (2020). Scaling Up Dynamic Optimization Problems: A Divide-and-Conquer Approach, IEEE Transactions on Evolutionary Computation, 24:1, (1-15), Online publication date: 1-Feb-2020.
  366. Kao T and Fink W (2022). Stochastic multi-objective Pareto-optimization framework for fully automated ab initio network-on-chip design, Journal of Systems Architecture: the EUROMICRO Journal, 103:C, Online publication date: 1-Feb-2020.
  367. Tong Z, Chen H, Deng X, Li K and Li K (2020). A scheduling scheme in the cloud computing environment using deep Q-learning, Information Sciences: an International Journal, 512:C, (1170-1191), Online publication date: 1-Feb-2020.
  368. Su Y, Guo N, Tian Y and Zhang X (2020). A non-revisiting genetic algorithm based on a novel binary space partition tree, Information Sciences: an International Journal, 512:C, (661-674), Online publication date: 1-Feb-2020.
  369. Liu J, Li D, Wu Y and Liu D (2020). Lion swarm optimization algorithm for comparative study with application to optimal dispatch of cascade hydropower stations, Applied Soft Computing, 87:C, Online publication date: 1-Feb-2020.
  370. Hansen J, Sund J, Tollemache D, Arefi A and Nourbakhsh G (2020). An enhanced breeding swarms algorithm for high dimensional optimisations, International Journal of Bio-Inspired Computation, 15:3, (181-193), Online publication date: 1-Jan-2020.
  371. Zhang X, Li X and Yin M (2020). An enhanced genetic algorithm for the distributed assembly permutation flowshop scheduling problem, International Journal of Bio-Inspired Computation, 15:2, (113-124), Online publication date: 1-Jan-2020.
  372. Pentoś K, Pieczarka K, Lejman K and Andrea M (2020). Application of Soft Computing Techniques for the Analysis of Tractive Properties of a Low-Power Agricultural Tractor under Various Soil Conditions, Complexity, 2020, Online publication date: 1-Jan-2020.
  373. Tong W and Mateos C (2020). A Hybrid Algorithm Framework with Learning and Complementary Fusion Features for Whale Optimization Algorithm, Scientific Programming, 2020, Online publication date: 1-Jan-2020.
  374. Zhao W, Zhang Z and Wang L (2022). Manta ray foraging optimization, Engineering Applications of Artificial Intelligence, 87:C, Online publication date: 1-Jan-2020.
  375. Hayyolalam V and Pourhaji Kazem A (2022). Black Widow Optimization Algorithm, Engineering Applications of Artificial Intelligence, 87:C, Online publication date: 1-Jan-2020.
  376. Hu X, Zhang C, Zhang G, Zhang M, Li H, Leeson M and Liao J (2022). Finding the k shortest paths by ripple-spreading algorithms, Engineering Applications of Artificial Intelligence, 87:C, Online publication date: 1-Jan-2020.
  377. Chen R, Liang C, Gu D and Zhao H (2020). A competence-time-quality scheduling model of multi-skilled staff for IT project portfolio, Computers and Industrial Engineering, 139:C, Online publication date: 1-Jan-2020.
  378. Gálvez A and Iglesias A (2021). Memetic improved cuckoo search algorithm for automatic B-spline border approximation of cutaneous melanoma from macroscopic medical images, Advanced Engineering Informatics, 43:C, Online publication date: 1-Jan-2020.
  379. Baldominos A, Saez Y and Isasi P (2019). On the automated, evolutionary design of neural networks: past, present, and future, Neural Computing and Applications, 32:2, (519-545), Online publication date: 1-Jan-2020.
  380. Ball A, Das R, Roy S, Kisku D and Murmu N (2019). Modeling of EHD inkjet printing performance using soft computing-based approaches, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 24:1, (571-589), Online publication date: 1-Jan-2020.
  381. Freeman C, Metz L and Ha D Learning to predict without looking ahead Proceedings of the 33rd International Conference on Neural Information Processing Systems, (5379-5390)
  382. Madadi B, van Nes R, Snelder M and van Arem B (2019). A bi‐level model to optimize road networks for a mixture of manual and automated driving, Computer-Aided Civil and Infrastructure Engineering, 35:1, (80-96), Online publication date: 1-Dec-2019.
  383. Lee D, Kim S, Tak S and Yeo H (2019). Real-Time Feed-Forward Neural Network-Based Forward Collision Warning System Under Cloud Communication Environment, IEEE Transactions on Intelligent Transportation Systems, 20:12, (4390-4404), Online publication date: 1-Dec-2019.
  384. Liu Y, Wang X and Kurths J (2019). Framework of Evolutionary Algorithm for Investigation of Influential Nodes in Complex Networks, IEEE Transactions on Evolutionary Computation, 23:6, (1049-1063), Online publication date: 1-Dec-2019.
  385. Kaiser T and Hamann H (2019). Engineered self-organization for resilient robot self-assembly with minimal surprise, Robotics and Autonomous Systems, 122:C, Online publication date: 1-Dec-2019.
  386. Eftimov T and Korošec P (2019). Identifying practical significance through statistical comparison of meta-heuristic stochastic optimization algorithms, Applied Soft Computing, 85:C, Online publication date: 1-Dec-2019.
  387. Mozaffari A, Emami M and Fathi A (2019). A comprehensive investigation into the performance, robustness, scalability and convergence of chaos-enhanced evolutionary algorithms with boundary constraints, Artificial Intelligence Review, 52:4, (2319-2380), Online publication date: 1-Dec-2019.
  388. Karaboga D and Kaya E (2019). Adaptive network based fuzzy inference system (ANFIS) training approaches: a comprehensive survey, Artificial Intelligence Review, 52:4, (2263-2293), Online publication date: 1-Dec-2019.
  389. Wong P, Leung K and Wong M (2019). Probabilistic grammar-based neuroevolution for physiological signal classification of ventricular tachycardia, Expert Systems with Applications: An International Journal, 135:C, (237-248), Online publication date: 30-Nov-2019.
  390. Goldkamp J and Dehghanimohammadabadi M (2019). Evolutionary multi-objective optimization for multivariate pairs trading, Expert Systems with Applications: An International Journal, 135:C, (113-128), Online publication date: 30-Nov-2019.
  391. Nicholls J and Engelbrecht A (2019). Co‐evolved genetic programs for stock market trading, International Journal of Intelligent Systems in Accounting and Finance Management, 26:3, (117-136), Online publication date: 15-Nov-2019.
  392. Lin C, Liu Z, Chang C and Lin Y (2019). A Genetic Algorithm-Based Personalized Remedial Learning System for Learning Object-Oriented Concepts of Java, IEEE Transactions on Education, 62:4, (237-245), Online publication date: 1-Nov-2019.
  393. Chen L, Deb K and Liu H (2019). Explicit Control of Implicit Parallelism in Decomposition-Based Evolutionary Many-Objective Optimization Algorithms [Research Frontier], IEEE Computational Intelligence Magazine, 14:4, (52-64), Online publication date: 1-Nov-2019.
  394. Cao B, Zhao J, Yang P, Yang P, Liu X, Qi J, Simpson A, Elhoseny M, Mehmood I and Muhammad K (2019). Multiobjective feature selection for microarray data via distributed parallel algorithms, Future Generation Computer Systems, 100:C, (952-981), Online publication date: 1-Nov-2019.
  395. Pławiak P, Abdar M and Rajendra Acharya U (2019). Application of new deep genetic cascade ensemble of SVM classifiers to predict the Australian credit scoring, Applied Soft Computing, 84:C, Online publication date: 1-Nov-2019.
  396. Han N, Qiao S, Yuan G, Huang P, Liu D and Yue K (2022). A novel Chinese herbal medicine clustering algorithm via artificial bee colony optimization, Artificial Intelligence in Medicine, 101:C, Online publication date: 1-Nov-2019.
  397. Anwar Z, Afzal H, Bibi N, Abbas H, Mohsin A and Arif O (2019). A hybrid-adaptive neuro-fuzzy inference system for multi-objective regression test suites optimization, Neural Computing and Applications, 31:11, (7287-7301), Online publication date: 1-Nov-2019.
  398. Nasiri M, Salesi S, Rahbari A, Salmanzadeh Meydani N and Abdollai M (2019). A data mining approach for population-based methods to solve the JSSP, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 23:21, (11107-11122), Online publication date: 1-Nov-2019.
  399. Tong Z, Chen H, Deng X, Li K and Li K (2019). A novel task scheduling scheme in a cloud computing environment using hybrid biogeography-based optimization, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 23:21, (11035-11054), Online publication date: 1-Nov-2019.
  400. Martín M, Jiménez-Martín A and Mateos A (2019). A numerical analysis of allocation strategies for the multi-armed bandit problem under delayed rewards conditions in digital campaign management, Neurocomputing, 363:C, (99-113), Online publication date: 21-Oct-2019.
  401. Yang Y, Dong A, Li Y, Ahmed R and Emadi A Temperature Dependent State of Charge Estimation of Lithium-ion Batteries Using Long Short-Term Memory Network and Kalman Filter IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society, (4335-4340)
  402. Christou V, Tsipouras M, Giannakeas N, Tzallas A and Brown G (2019). Hybrid extreme learning machine approach for heterogeneous neural networks, Neurocomputing, 361:C, (137-150), Online publication date: 7-Oct-2019.
  403. Hirayama C and Nagao T Dynamic Path Costs Update Method reflecting Delivery Tendencies for Multi-Agent Delivery Tasks 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), (4361-4366)
  404. Ryma G and Mohamed-Khireddine K (2021). Genetic Algorithm With Hill Climbing for Correspondences Discovery in Ontology Mapping, Journal of Information Technology Research, 12:4, (153-170), Online publication date: 1-Oct-2019.
  405. Idais H, Yasin M, Pasadas M and González P (2019). Optimal knots allocation in the cubic and bicubic spline interpolation problems, Mathematics and Computers in Simulation, 164:C, (131-145), Online publication date: 1-Oct-2019.
  406. Milan S, Rajabion L, Ranjbar H and Navimipour N (2022). Nature inspired meta-heuristic algorithms for solving the load-balancing problem in cloud environments, Computers and Operations Research, 110:C, (159-187), Online publication date: 1-Oct-2019.
  407. Ozsoydan F (2019). Artificial search agents with cognitive intelligence for binary optimization problems, Computers and Industrial Engineering, 136:C, (18-30), Online publication date: 1-Oct-2019.
  408. Isiet M and Gadala M (2022). Self-adapting control parameters in particle swarm optimization, Applied Soft Computing, 83:C, Online publication date: 1-Oct-2019.
  409. Bartoli A, De Lorenzo A, Medvet E and Squillero G (2022). Multi-level diversity promotion strategies for Grammar-guided Genetic Programming, Applied Soft Computing, 83:C, Online publication date: 1-Oct-2019.
  410. Yeh W (2022). Solving cold-standby reliability redundancy allocation problems using a new swarm intelligence algorithm, Applied Soft Computing, 83:C, Online publication date: 1-Oct-2019.
  411. Douven I (2019). Optimizing group learning, Artificial Intelligence, 275:C, (235-251), Online publication date: 1-Oct-2019.
  412. Hbaieb A, Khemakhem M and Ben Jemaa M (2019). A survey and taxonomy on virtual data center embedding, The Journal of Supercomputing, 75:10, (6324-6360), Online publication date: 1-Oct-2019.
  413. Badiee A and Ghazanfari M (2019). Development of a monopoly pricing model for diffusion maximization in fuzzy weighted social networks with negative externalities of heterogeneous nodes using a case study, Neural Computing and Applications, 31:10, (6287-6301), Online publication date: 1-Oct-2019.
  414. Murlidhar B, Ahmed M, Mavaluru D, Siddiqi A and Mohamad E (2019). Prediction of rock interlocking by developing two hybrid models based on GA and fuzzy system, Engineering with Computers, 35:4, (1419-1430), Online publication date: 1-Oct-2019.
  415. ACM
    Zhang Y, Li J, Du J and Li L Time-dependent theme park routing problem Proceedings of the Conference on Research in Adaptive and Convergent Systems, (244-249)
  416. Hayashida T, Nishizaki I, Sekizaki S and Ogasawara Y (2019). Development of a classifier system for a continuous environment, Electronics and Communications in Japan, 102:10, (17-25), Online publication date: 11-Sep-2019.
  417. Petrovan A, Pop-Sitar P and Matei O Haploid Versus Diploid Genetic Algorithms. A Comparative Study Hybrid Artificial Intelligent Systems, (193-205)
  418. Díez Díaz F, Sánchez Lasheras F, de Cos Juez F and Martín Sánchez V Evolutionary Algorithm for Pathways Detection in GWAS Studies Hybrid Artificial Intelligent Systems, (111-122)
  419. Bevilacqua S, da Costa Pereira C, Guerci E, Precioso F and Sartori C Analysing the Impact of Rationality on the Italian Electricity Market Modeling Decisions for Artificial Intelligence, (236-247)
  420. Vahdani B and Ahmadzadeh E (2019). Designing a realistic ICT closed loop supply chain network with integrated decisions under uncertain demand and lead time, Knowledge-Based Systems, 179:C, (34-54), Online publication date: 1-Sep-2019.
  421. Nakano M, Takahashi A and Takahashi S (2019). State–space approach to adaptive fuzzy modeling for financial investment, Applied Soft Computing, 82:C, Online publication date: 1-Sep-2019.
  422. Andrade C, Byers S, Gopalakrishnan V, Halepovic E, Poole D, Tran L and Volinsky C (2019). Scheduling software updates for connected cars with limited availability, Applied Soft Computing, 82:C, Online publication date: 1-Sep-2019.
  423. Wahde M, Bellone M and Torabi S (2019). A method for real-time dynamic fleet mission planning for autonomous mining, Autonomous Agents and Multi-Agent Systems, 33:5, (564-590), Online publication date: 1-Sep-2019.
  424. Hajiaghaei-Keshteli M and Fathollahi Fard A (2019). Sustainable closed-loop supply chain network design with discount supposition, Neural Computing and Applications, 31:9, (5343-5377), Online publication date: 1-Sep-2019.
  425. Babazadeh H and Javadian N (2019). A novel meta-heuristic approach to solve fuzzy multi-objective straight and U-shaped assembly line balancing problems, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 23:17, (8217-8245), Online publication date: 1-Sep-2019.
  426. Stefanoiu D, Culita J and Ionescu F (2019). Vibration fault diagnosis through genetic matching pursuit optimization, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 23:17, (8131-8157), Online publication date: 1-Sep-2019.
  427. Torquato M and Fernandes M (2019). High-Performance Parallel Implementation of Genetic Algorithm on FPGA, Circuits, Systems, and Signal Processing, 38:9, (4014-4039), Online publication date: 1-Sep-2019.
  428. Kim J and Cho S (2019). Exploiting deep convolutional neural networks for a neural-based learning classifier system, Neurocomputing, 354:C, (61-70), Online publication date: 18-Aug-2019.
  429. ACM
    Liew D, Cadar C, Donaldson A and Stinnett J Just fuzz it: solving floating-point constraints using coverage-guided fuzzing Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, (521-532)
  430. Imran Hossain S, Akhand M, Shuvo M, Siddique N and Adeli H (2022). Optimization of University Course Scheduling Problem using Particle Swarm Optimization with Selective Search, Expert Systems with Applications: An International Journal, 127:C, (9-24), Online publication date: 1-Aug-2019.
  431. Shavarani S, Mosallaeipour S, Golabi M and İzbirak G (2019). A congested capacitated multi-level fuzzy facility location problem, Computers and Operations Research, 108:C, (57-68), Online publication date: 1-Aug-2019.
  432. Chagas G, Lorena L and dos Santos R (2019). A hybrid heuristic for the overlapping cluster editing problem, Applied Soft Computing, 81:C, Online publication date: 1-Aug-2019.
  433. Khan A, Qu Y and Li Z (2019). Convergence Analysis of a New MaxMin-SOMO Algorithm, International Journal of Automation and Computing, 16:4, (534-542), Online publication date: 1-Aug-2019.
  434. Zhao W, Lu Y and Feng G (2019). How Many Agents are Rational in China's Economy? Evidence from a Heterogeneous Agent-Based New Keynesian Model, Computational Economics, 54:2, (575-611), Online publication date: 1-Aug-2019.
  435. Wang H, Hu Z, Sun Y, Su Q and Xia X (2019). A novel modified BSA inspired by species evolution rule and simulated annealing principle for constrained engineering optimization problems, Neural Computing and Applications, 31:8, (4157-4184), Online publication date: 1-Aug-2019.
  436. Zhang W, Zhang S, Zhang S, Yu D and Huang N (2019). A novel method based on FTS with both GA-FCM and multifactor BPNN for stock forecasting, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 23:16, (6979-6994), Online publication date: 1-Aug-2019.
  437. Mafarja M and Mirjalili S (2019). Hybrid binary ant lion optimizer with rough set and approximate entropy reducts for feature selection, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 23:15, (6249-6265), Online publication date: 1-Aug-2019.
  438. ACM
    Komosinski M and Miazga K Parametrizing convection selection Proceedings of the Genetic and Evolutionary Computation Conference, (804-811)
  439. ACM
    Rika D, Sholomon D, David E and Netanyahu N A novel hybrid scheme using genetic algorithms and deep learning for the reconstruction of portuguese tile panels Proceedings of the Genetic and Evolutionary Computation Conference, (1319-1327)
  440. ACM
    Liao Y, Hsu H, Juang Y and Yu T On the investigation of population sizing of genetic algorithms using optimal mixing Proceedings of the Genetic and Evolutionary Computation Conference, (820-828)
  441. ACM
    Walton N, Sheppard J and Shaw J Using a genetic algorithm with histogram-based feature selection in hyperspectral image classification Proceedings of the Genetic and Evolutionary Computation Conference, (1364-1372)
  442. ACM
    Lu Z, Whalen I, Boddeti V, Dhebar Y, Deb K, Goodman E and Banzhaf W NSGA-Net Proceedings of the Genetic and Evolutionary Computation Conference, (419-427)
  443. ACM
    Gao P, Zuo X, Bian Q and Zhao X A memetic algorithm to optimize bus timetable with unequal time intervals Proceedings of the Genetic and Evolutionary Computation Conference Companion, (1336-1344)
  444. ACM
    Conrady S, Manuel M, Kreddig A and Stechele W LCS-based automatic configuration of approximate computing parameters for FPGA system designs Proceedings of the Genetic and Evolutionary Computation Conference Companion, (1271-1279)
  445. ACM
    Urquhart N, Guckert M and Powers S Increasing trust in meta-heuristics by using MAP-elites Proceedings of the Genetic and Evolutionary Computation Conference Companion, (1345-1348)
  446. ACM
    Doerr B Theory for non-theoreticians Proceedings of the Genetic and Evolutionary Computation Conference Companion, (523-549)
  447. ACM
    Chitty D, Wanner E, Parmar R and Lewis P Scaling ACO to large-scale vehicle fleet optimisation via partial-ACO Proceedings of the Genetic and Evolutionary Computation Conference Companion, (97-98)
  448. ACM
    Lančinskas A, Žilinskas J, Fernández P and Pelegrín B Ranking-based discrete optimization algorithm for asymmetric competitive facility location Proceedings of the Genetic and Evolutionary Computation Conference Companion, (149-150)
  449. Alekseeva N, Tanev I and Shimohara K On the Emergence of Oscillations in the Evolved Autosteering of a Car on Slippery Roads 2019 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), (1371-1378)
  450. Das A and Pratihar D (2019). A novel approach for neuro-fuzzy system-based multi-objective optimization to capture inherent fuzziness in engineering processes, Knowledge-Based Systems, 175:C, (1-11), Online publication date: 1-Jul-2019.
  451. Kalayci C, Ertenlice O and Akbay M (2019). A comprehensive review of deterministic models and applications for mean-variance portfolio optimization, Expert Systems with Applications: An International Journal, 125:C, (345-368), Online publication date: 1-Jul-2019.
  452. Sanodiya R, Saha S and Mathew J (2019). A kernel semi-supervised distance metric learning with relative distance, Expert Systems with Applications: An International Journal, 125:C, (233-248), Online publication date: 1-Jul-2019.
  453. Torabi S and Wahde M (2019). A method for performance analysis of a genetic algorithm applied to the problem of fuel consumption minimization for heavy-duty vehicles, Applied Soft Computing, 80:C, (735-741), Online publication date: 1-Jul-2019.
  454. Biswas A, Shaikh A and Niaki S (2019). Multi-objective non-linear fixed charge transportation problem with multiple modes of transportation in crisp and interval environments, Applied Soft Computing, 80:C, (628-649), Online publication date: 1-Jul-2019.
  455. Ahmadianfar I, Khajeh Z, Asghari-Pari S and Chu X (2019). Developing optimal policies for reservoir systems using a multi-strategy optimization algorithm, Applied Soft Computing, 80:C, (888-903), Online publication date: 1-Jul-2019.
  456. Choudry S, Serpell M and Burnham P (2019). Using a permutation representation genetic algorithm to implement a complex pick up/drop off mathematical model, Applied Soft Computing, 80:C, (810-819), Online publication date: 1-Jul-2019.
  457. Kaur P and Sharma M (2019). Diagnosis of Human Psychological Disorders using Supervised Learning and Nature-Inspired Computing Techniques, Journal of Medical Systems, 43:7, (1-30), Online publication date: 1-Jul-2019.
  458. Koopialipoor M, Jahed Armaghani D, Hedayat A, Marto A and Gordan B (2019). Applying various hybrid intelligent systems to evaluate and predict slope stability under static and dynamic conditions, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 23:14, (5913-5929), Online publication date: 1-Jul-2019.
  459. Zandavi S and Chung V (2019). State estimation of nonlinear dynamic system using novel heuristic filter based on genetic algorithm, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 23:14, (5559-5570), Online publication date: 1-Jul-2019.
  460. Guo Y, Ji J, Ji J, Gong D, Cheng J and Shen X (2019). Firework-based software project scheduling method considering the learning and forgetting effect, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 23:13, (5019-5034), Online publication date: 1-Jul-2019.
  461. Surendar A, Kuzichkin O, Kanagarajan S, Hashemi M and Khorami M (2019). Applying two optimization techniques in evaluating tensile strength of granitic samples, Engineering with Computers, 35:3, (985-992), Online publication date: 1-Jul-2019.
  462. Quintiliano Bezerra Silva A Predicting Cervical Cancer with Metaheuristic Optimizers for Training LSTM Computational Science – ICCS 2019, (642-655)
  463. Guerreiro P, Cardoso P and Fernandes H Applying NSGA-II to a Multiple Objective Dial a Ride Problem Computational Science – ICCS 2019, (55-69)
  464. Zhuo E, Deng Y, Su Z, Yang P, Yuan B and Yao X An Experimental Study of Large-scale Capacitated Vehicle Routing Problems 2019 IEEE Congress on Evolutionary Computation (CEC), (1195-1202)
  465. Li L, Liang Y, Li T, Wu C, Zhao G and Han X (2019). Boost particle swarm optimization with fitness estimation, Natural Computing: an international journal, 18:2, (229-247), Online publication date: 1-Jun-2019.
  466. ACM
    Yan L, Hu W and Han L Parallel architecture design of genetic algorithms on HPC platform Proceedings of the ACM Turing Celebration Conference - China, (1-7)
  467. ACM
    Yan L, Hu W and Han L Optimize SPL test cases with adaptive simulated annealing genetic algorithm Proceedings of the ACM Turing Celebration Conference - China, (1-7)
  468. ACM
    Chiu Y, Lin H and Jou Y A Model Selection Method for Machine Learning by Differential Evolution Proceedings of the 4th International Conference on Big Data and Computing, (135-139)
  469. Li Y, Chen W, Chen J, Chen X, Liang J and Du M (2019). Neural network based modeling and control of elbow joint motion under functional electrical stimulation, Neurocomputing, 340:C, (171-179), Online publication date: 7-May-2019.
  470. Dash B, Rup S, Mohanty F and Swamy M (2019). A hybrid block-based motion estimation algorithm using JAYA for video coding techniques, Digital Signal Processing, 88:C, (160-171), Online publication date: 1-May-2019.
  471. Alinaghian M, Aghaie M and Sabbagh M (2019). A mathematical model for location of temporary relief centers and dynamic routing of aerial rescue vehicles, Computers and Industrial Engineering, 131:C, (227-241), Online publication date: 1-May-2019.
  472. Shehab M, Khader A, Laouchedi M and Alomari O (2019). Hybridizing cuckoo search algorithm with bat algorithm for global numerical optimization, The Journal of Supercomputing, 75:5, (2395-2422), Online publication date: 1-May-2019.
  473. Joudar N and Ettaouil M (2019). Mathematical mixed-integer programming for solving a new optimization model of selective image restoration, Circuits, Systems, and Signal Processing, 38:5, (2072-2096), Online publication date: 1-May-2019.
  474. ACM
    Krylov G and Lukac M Quantum encoded quantum evolutionary algorithm for the design of quantum circuits Proceedings of the 16th ACM International Conference on Computing Frontiers, (220-225)
  475. Chikouche S, Bouhouita-Guermech S, Bouziane A and Mostefai M (2021). New Evolutionary Adoption Model for Innovation Diffusion, Journal of Information Technology Research, 12:2, (115-133), Online publication date: 1-Apr-2019.
  476. Paul V, Ganeshkumar C and Jayakumar L (2020). Performance Evaluation of Population Seeding Techniques of Permutation-Coded GA Traveling Salesman Problems Based Assessment, International Journal of Applied Metaheuristic Computing, 10:2, (55-92), Online publication date: 1-Apr-2019.
  477. Gribel D and Vidal T (2022). HG-means, Pattern Recognition, 88:C, (569-583), Online publication date: 1-Apr-2019.
  478. Ozsoydan F and Baykasoglu A (2019). A swarm intelligence-based algorithm for the set-union knapsack problem, Future Generation Computer Systems, 93:C, (560-569), Online publication date: 1-Apr-2019.
  479. Bai W, Ren J and Li T (2019). Modified genetic optimization-based locally weighted learning identification modeling of ship maneuvering with full scale trial, Future Generation Computer Systems, 93:C, (1036-1045), Online publication date: 1-Apr-2019.
  480. Truong K, Nallagownden P, Baharudin Z and Vo D (2019). A Quasi-Oppositional-Chaotic Symbiotic Organisms Search algorithm for global optimization problems, Applied Soft Computing, 77:C, (567-583), Online publication date: 1-Apr-2019.
  481. Ong P, Ho C, Chin D, Sia C, Ng C, Wahab M and Bala A (2019). Diameter prediction and optimization of hot extrusion-synthesized polypropylene filament using statistical and soft computing techniques, Journal of Intelligent Manufacturing, 30:4, (1957-1972), Online publication date: 1-Apr-2019.
  482. Bhadoria A and Kamboj V (2019). Optimal generation scheduling and dispatch of thermal generating units considering impact of wind penetration using hGWO-RES algorithm, Applied Intelligence, 49:4, (1517-1547), Online publication date: 1-Apr-2019.
  483. Cao Z and Wang L (2019). A comprehensive study of phase based optimization algorithm on global optimization problems and its applications, Applied Intelligence, 49:4, (1355-1375), Online publication date: 1-Apr-2019.
  484. Bill R, Fleck M, Troya J, Mayerhofer T and Wimmer M (2019). A local and global tour on MOMoT, Software and Systems Modeling (SoSyM), 18:2, (1017-1046), Online publication date: 1-Apr-2019.
  485. ACM
    Rodrigues D, Delamaro M, Corrêa C and Nunes F (2018). Using Genetic Algorithms in Test Data Generation, ACM Computing Surveys, 51:2, (1-23), Online publication date: 31-Mar-2019.
  486. Han F, Jiang J, Ling Q and Su B (2019). A survey on metaheuristic optimization for random single-hidden layer feedforward neural network, Neurocomputing, 335:C, (261-273), Online publication date: 28-Mar-2019.
  487. ACM
    Kanazaki M and Saisyo R Genetic Algorithm Applied to the Time-Series Landing Flight Path and Control Optimization of a Supersonic Transport Proceedings of the 2019 3rd International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence, (19-24)
  488. ACM
    Iwase T, Takano R, Uwano F, Sato H and Takadama K The Bat Algorithm with Dynamic Niche Radius for Multimodal Optimization Proceedings of the 2019 3rd International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence, (8-13)
  489. Meng Z, Pan J and Tseng K (2019). PaDE, Knowledge-Based Systems, 168:C, (80-99), Online publication date: 15-Mar-2019.
  490. Liu Y and Zhang W (2022). Flexible time horizon project portfolio optimization with consumption and risk control, Applied Soft Computing, 76:C, (282-293), Online publication date: 1-Mar-2019.
  491. Cruz N, Salhi S, Redondo J, Álvarez J, Berenguel M and Ortigosa P (2019). Design of a parallel genetic algorithm for continuous and pattern-free heliostat field optimization, The Journal of Supercomputing, 75:3, (1268-1283), Online publication date: 1-Mar-2019.
  492. Dinh V, Nguyen T and Jeon J (2018). Rectification Using Different Types of Cameras Attached to a Vehicle, IEEE Transactions on Image Processing, 28:2, (815-826), Online publication date: 1-Feb-2019.
  493. Fernandez A, Herrera F, Cordon O, Jose del Jesus M and Marcelloni F (2019). Evolutionary Fuzzy Systems for Explainable Artificial Intelligence, IEEE Computational Intelligence Magazine, 14:1, (69-81), Online publication date: 1-Feb-2019.
  494. Zhao W, Wang L and Zhang Z (2019). A novel atom search optimization for dispersion coefficient estimation in groundwater, Future Generation Computer Systems, 91:C, (601-610), Online publication date: 1-Feb-2019.
  495. Panag T and Dhillon J (2019). Maximal coverage hybrid search algorithm for deployment in wireless sensor networks, Wireless Networks, 25:2, (637-652), Online publication date: 1-Feb-2019.
  496. Liaw R and Ting C Evolutionary manytasking optimization based on symbiosis in biocoenosis Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence and Thirty-First Innovative Applications of Artificial Intelligence Conference and Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, (4295-4303)
  497. Haq E, Ahmad I, Hussain A, Almanjahie I and Yáñez-Márquez C (2019). A Novel Selection Approach for Genetic Algorithms for Global Optimization of Multimodal Continuous Functions, Computational Intelligence and Neuroscience, 2019, Online publication date: 1-Jan-2019.
  498. Chihab Y, Bousbaa Z, Chihab M, Bencharef O, Ziti S and Yang M (2019). Algo-Trading Strategy for Intraweek Foreign Exchange Speculation Based on Random Forest and Probit Regression, Applied Computational Intelligence and Soft Computing, 2019, Online publication date: 1-Jan-2019.
  499. Gircys M, Ross B and Johnson C (2019). Image Evolution Using 2D Power Spectra, Complexity, 2019, Online publication date: 1-Jan-2019.
  500. Wang W, Li W, Wang Y and Migliore M (2019). An Opposition-Based Evolutionary Algorithm for Many-Objective Optimization with Adaptive Clustering Mechanism, Computational Intelligence and Neuroscience, 2019, Online publication date: 1-Jan-2019.
  501. Wang J, Zhang M, Ersoy O, Sun K, Bi Y and Gastaldo P (2019). An Improved Real-Coded Genetic Algorithm Using the Heuristical Normal Distribution and Direction-Based Crossover, Computational Intelligence and Neuroscience, 2019, Online publication date: 1-Jan-2019.
  502. López-Vázquez G, Ornelas-Rodriguez M, Espinal A, Soria-Alcaraz J, Rojas-Domínguez A, Puga-Soberanes H, Carpio J, Rostro-Gonzalez H and Castillo O (2019). Evolutionary Spiking Neural Networks for Solving Supervised Classification Problems, Computational Intelligence and Neuroscience, 2019, Online publication date: 1-Jan-2019.
  503. Mattioli F, Caetano D, Cardoso A, Naves E, Lamounier E and Camastra F (2019). An Experiment on the Use of Genetic Algorithms for Topology Selection in Deep Learning, Journal of Electrical and Computer Engineering, 2019, Online publication date: 1-Jan-2019.
  504. Gao Z, Zhao J and Köker R (2019). An Improved Grey Wolf Optimization Algorithm with Variable Weights, Computational Intelligence and Neuroscience, 2019, Online publication date: 1-Jan-2019.
  505. Dahou A, Elaziz M, Zhou J, Xiong S and Zunino R (2019). Arabic Sentiment Classification Using Convolutional Neural Network and Differential Evolution Algorithm, Computational Intelligence and Neuroscience, 2019, Online publication date: 1-Jan-2019.
  506. Georgiev M, Tanev I, Shimohara K and Kiatwanidvilai S (2019). Coevolution of the Asymmetric Morphology and the Behaviour of Simple Predator Agents in Predator-Prey Pursuit Problem, Computational Intelligence and Neuroscience, 2019, Online publication date: 1-Jan-2019.
  507. Rachih H, Mhada F and Chiheb R (2019). Meta-heuristics for reverse logistics, Computers and Industrial Engineering, 127:C, (45-62), Online publication date: 1-Jan-2019.
  508. Woo Y and Kim B (2019). A genetic algorithm-based matheuristic for hydrogen supply chain network problem with two transportation modes and replenishment cycles, Computers and Industrial Engineering, 127:C, (981-997), Online publication date: 1-Jan-2019.
  509. Liu J, Xiao Y, Wang D and Pang Y (2019). Optimization of site selection for construction and demolition waste recycling plant using genetic algorithm, Neural Computing and Applications, 31:1, (233-245), Online publication date: 1-Jan-2019.
  510. Greco A, Cannizzaro F and Pluchino A (2019). Automatic evaluation of plastic collapse conditions for planar frames with vertical irregularities, Engineering with Computers, 35:1, (57-73), Online publication date: 1-Jan-2019.
  511. Al-Betar M, Awadallah M, Faris H, Aljarah I and Hammouri A (2018). Natural selection methods for Grey Wolf Optimizer, Expert Systems with Applications: An International Journal, 113:C, (481-498), Online publication date: 15-Dec-2018.
  512. Liu C, Ma Q and Xu J Multi-label Feature Selection Method Combining Unbiased Hilbert-Schmidt Independence Criterion with Controlled Genetic Algorithm Neural Information Processing, (3-14)
  513. ACM
    Ma L and Zhao W Design of Complex Wavelet Base in Analog Domain Proceedings of the 2nd International Conference on Telecommunications and Communication Engineering, (62-66)
  514. Patton R, Johnston J, Young S, Schuman C, March D, Potok T, Rose D, Lim S, Karnowski T, Ziatdinov M and Kalinin S 167-PFlops deep learning for electron microscopy Proceedings of the International Conference for High Performance Computing, Networking, Storage, and Analysis, (1-11)
  515. Patton R, Johnston J, Young S, Schuman C, March D, Potok T, Rose D, Lim S, Karnowski T, Ziatdinov M and Kalinin S 167-PFlops deep learning for electron microscopy Proceedings of the International Conference for High Performance Computing, Networking, Storage, and Analysis, (1-11)
  516. Lu C, Gao L, Li X, Zeng B and Zhou F (2018). A hybrid multi-objective evolutionary algorithm with feedback mechanism, Applied Intelligence, 48:11, (4149-4173), Online publication date: 1-Nov-2018.
  517. Wang J, Sun J, Yuan Q and Pang J (2018). Learning probabilistic models for model checking, International Journal on Software Tools for Technology Transfer (STTT), 20:6, (689-704), Online publication date: 1-Nov-2018.
  518. Martev D, Hampel S and Schlichtmann U (2018). Automated Phase-Noise-Aware Design of RF Clock Distribution Circuits, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 26:11, (2395-2405), Online publication date: 1-Nov-2018.
  519. Pereira J, Ritt M and Vásquez Ó (2018). A memetic algorithm for the cost-oriented robotic assembly line balancing problem, Computers and Operations Research, 99:C, (249-261), Online publication date: 1-Nov-2018.
  520. Kucukyilmaz T and Kiziloz H (2018). Cooperative parallel grouping genetic algorithm for the one-dimensional bin packing problem, Computers and Industrial Engineering, 125:C, (157-170), Online publication date: 1-Nov-2018.
  521. Alomari O, Khader A, Al-Betar M and Awadallah M (2018). A novel gene selection method using modified MRMR and hybrid bat-inspired algorithm with β-hill climbing, Applied Intelligence, 48:11, (4429-4447), Online publication date: 1-Nov-2018.
  522. ACM
    Nawaz M and Sun M A Formal Design Model for Genetic Algorithms Operators and its Encoding in PVS Proceedings of the 2018 2nd International Conference on Big Data and Internet of Things, (186-190)
  523. Tan T, Zhang L, Neoh S and Lim C (2018). Intelligent skin cancer detection using enhanced particle swarm optimization, Knowledge-Based Systems, 158:C, (118-135), Online publication date: 15-Oct-2018.
  524. Bi J and Zhang C (2018). An empirical comparison on state-of-the-art multi-class imbalance learning algorithms and a new diversified ensemble learning scheme, Knowledge-Based Systems, 158:C, (81-93), Online publication date: 15-Oct-2018.
  525. Trigui S, Cheikhrouhou O, Koubaa A, Zarrad A and Youssef H (2018). An analytical hierarchy process-based approach to solve the multi-objective multiple traveling salesman problem, Intelligent Service Robotics, 11:4, (355-369), Online publication date: 1-Oct-2018.
  526. Asadi-Gangraj E and Nayeri S (2018). A Hybrid Approach Based on LP Metric Method and Genetic Algorithm for the Vehicle-Routing Problem with Time Windows, Driver-Specific Times, and Vehicles-Specific Capacities, International Journal of Operations Research and Information Systems, 9:4, (51-67), Online publication date: 1-Oct-2018.
  527. Albert D (2018). Organizational Module Design and Architectural Inertia, Organization Science, 29:5, (890-911), Online publication date: 1-Oct-2018.
  528. García-Vico Á, Carmona C, González P and del Jesus M (2018). MOEA-EFEP: Multi-Objective Evolutionary Algorithm for Extracting Fuzzy Emerging Patterns, IEEE Transactions on Fuzzy Systems, 26:5, (2861-2872), Online publication date: 1-Oct-2018.
  529. Huang Z, Li M, Chousidis C, Mousavi A and Jiang C (2018). Schema Theory-Based Data Engineering in Gene Expression Programming for Big Data Analytics, IEEE Transactions on Evolutionary Computation, 22:5, (792-804), Online publication date: 1-Oct-2018.
  530. Bahrami B, Jabraeil Jamali M and Saeidi S (2018). A novel hierarchical architecture for Wireless Network-on-Chip, Journal of Parallel and Distributed Computing, 120:C, (307-321), Online publication date: 1-Oct-2018.
  531. Gomes C, Parente M, Azenha M and Lino J (2022). An integrated framework for multi-criteria optimization of thin concrete shells at early design stages, Advanced Engineering Informatics, 38:C, (330-342), Online publication date: 1-Oct-2018.
  532. Guerrero M, Montoya F, Baños R, Alcayde A and Gil C (2022). Community detection in national-scale high voltage transmission networks using genetic algorithms, Advanced Engineering Informatics, 38:C, (232-241), Online publication date: 1-Oct-2018.
  533. García F, Guijarro F and Oliver J (2018). Index tracking optimization with cardinality constraint, Neural Computing and Applications, 30:8, (2625-2641), Online publication date: 1-Oct-2018.
  534. Faris H, Hassonah M, Al-Zoubi A, Mirjalili S and Aljarah I (2018). A multi-verse optimizer approach for feature selection and optimizing SVM parameters based on a robust system architecture, Neural Computing and Applications, 30:8, (2355-2369), Online publication date: 1-Oct-2018.
  535. Zhang Y and Liu M (2018). An improved genetic algorithm encoded by adaptive degressive ary number, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 22:20, (6861-6875), Online publication date: 1-Oct-2018.
  536. Merras M, Saaidi A, El Akkad N and Satori K (2018). Multi-view 3D reconstruction and modeling of the unknown 3D scenes using genetic algorithms, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 22:19, (6271-6289), Online publication date: 1-Oct-2018.
  537. ACM
    Herremans D, Chuan C and Chew E (2017). A Functional Taxonomy of Music Generation Systems, ACM Computing Surveys, 50:5, (1-30), Online publication date: 30-Sep-2018.
  538. Salgado P, Igrejas G and Afonso P Evolutionary Based on Selfish and Altruism Strategies - An Approach to Path Planning Problems 2018 International Conference on Intelligent Systems (IS), (408-412)
  539. ACM
    Chunsheng S Study on Optimization of Bacteria Foraging Optimization Algorithm combined with Roulette Wheel Method Proceedings of the 2nd International Conference on Business and Information Management, (15-17)
  540. Deveci M and Demirel N (2018). A survey of the literature on airline crew scheduling, Engineering Applications of Artificial Intelligence, 74:C, (54-69), Online publication date: 1-Sep-2018.
  541. Etminaniesfahani A, Ghanbarzadeh A and Marashi Z (2018). Fibonacci indicator algorithm, Engineering Applications of Artificial Intelligence, 74:C, (1-9), Online publication date: 1-Sep-2018.
  542. Nabavi S, Akbarzadeh A and Enferadi J (2018). A Study on Kinematics and Workspace Determination of a General 6-P US Robot, Journal of Intelligent and Robotic Systems, 91:3-4, (351-362), Online publication date: 1-Sep-2018.
  543. Tang C, Hao M, Wei X and Chen W (2018). Energy-aware task scheduling in mobile cloud computing, Distributed and Parallel Databases, 36:3, (529-553), Online publication date: 1-Sep-2018.
  544. Khanduzi R and Maleki H (2018). A novel bilevel model and solution algorithms for multi-period interdiction problem with fortification, Applied Intelligence, 48:9, (2770-2791), Online publication date: 1-Sep-2018.
  545. Kumar Y and Singh P (2018). Improved cat swarm optimization algorithm for solving global optimization problems and its application to clustering, Applied Intelligence, 48:9, (2681-2697), Online publication date: 1-Sep-2018.
  546. Gálvez J, Cuevas E, Avalos O, Oliva D and Hinojosa S (2018). Electromagnetism-like mechanism with collective animal behavior for multimodal optimization, Applied Intelligence, 48:9, (2580-2612), Online publication date: 1-Sep-2018.
  547. Henshall G, Teahan W and Cenydd L (2018). Virtual reality's effect on parameter optimisation for crowd-sourced procedural animation, The Visual Computer: International Journal of Computer Graphics, 34:9, (1255-1268), Online publication date: 1-Sep-2018.
  548. González-Álvarez D, Vega-Rodríguez M and Rubio-Largo Á (2018). Searching for common patterns on protein sequences by means of a parallel hybrid honey-bee mating optimization algorithm, Parallel Computing, 76:C, (1-17), Online publication date: 1-Aug-2018.
  549. Vijayanand R, Devaraj D and Kannapiran B (2018). Intrusion detection system for wireless mesh network using multiple support vector machine classifiers with genetic-algorithm-based feature selection, Computers and Security, 77:C, (304-314), Online publication date: 1-Aug-2018.
  550. Cuevas E, Reyna-Orta A and Díaz-Cortes M (2018). A Multimodal Optimization Algorithm Inspired by the States of Matter, Neural Processing Letters, 48:1, (517-556), Online publication date: 1-Aug-2018.
  551. Zhou Y, Zhao R, Luo Q and Wen C (2018). Sensor Deployment Scheme Based on Social Spider Optimization Algorithm for Wireless Sensor Networks, Neural Processing Letters, 48:1, (71-94), Online publication date: 1-Aug-2018.
  552. Pelusi D, Mascella R, Tallini L, Nayak J, Naik B and Abraham A (2018). Neural network and fuzzy system for the tuning of Gravitational Search Algorithm parameters, Expert Systems with Applications: An International Journal, 102:C, (234-244), Online publication date: 15-Jul-2018.
  553. ACM
    Doerr B Theory for non-theoreticians Proceedings of the Genetic and Evolutionary Computation Conference Companion, (389-414)
  554. ACM
    Zhang L, Yue X, Wang L and Yang B Estimating cement compressive strength from microstructural images using GEP with probabilistic polarized similarity weight tournament selection Proceedings of the Genetic and Evolutionary Computation Conference, (1403-1410)
  555. ACM
    Haqqani M, Li X and Yu X Multi-objective journey planning under uncertainty Proceedings of the Genetic and Evolutionary Computation Conference, (1262-1269)
  556. ACM
    Collins J, Geles W, Howard D and Maire F Towards the targeted environment-specific evolution of robot components Proceedings of the Genetic and Evolutionary Computation Conference, (61-68)
  557. ACM
    Andre R, Schlag S and Schulz C Memetic multilevel hypergraph partitioning Proceedings of the Genetic and Evolutionary Computation Conference, (347-354)
  558. Sharan A and Singh A (2018). Genetic-Fuzzy Programming Based Linkage Rule Miner GFPLR-Miner for Entity Linking in Semantic Web, International Journal on Semantic Web & Information Systems, 14:3, (134-166), Online publication date: 1-Jul-2018.
  559. Hassanat A, Altarawneh G, Tarawneh A, Faris H, Alhasanat M, de Voogt A, Al-Rawashdeh B, Alshamaileh M and Prasath S (2018). On Computerizing the Ancient Game of á???b, International Journal of Gaming and Computer-Mediated Simulations, 10:3, (20-40), Online publication date: 1-Jul-2018.
  560. Diveev A and Konstantinov S (2018). Study of the Practical Convergence of Evolutionary Algorithms for the Optimal Program Control of a Wheeled Robot, Journal of Computer and Systems Sciences International, 57:4, (561-580), Online publication date: 1-Jul-2018.
  561. Fathollahi Fard A and Hajiaghaei-Keshteli M (2018). A bi-objective partial interdiction problem considering different defensive systems with capacity expansion of facilities under imminent attacks, Applied Soft Computing, 68:C, (343-359), Online publication date: 1-Jul-2018.
  562. Cui L, Xu C, Li G, Ming Z, Feng Y and Lu N (2018). A high accurate localization algorithm with DV-Hop and differential evolution for wireless sensor network, Applied Soft Computing, 68:C, (39-52), Online publication date: 1-Jul-2018.
  563. Ma H and Li X (2018). Closed-loop supply chain network design for hazardous products with uncertain demands and returns, Applied Soft Computing, 68:C, (889-899), Online publication date: 1-Jul-2018.
  564. Abd-Elazim S and Ali E (2018). Load frequency controller design of a two-area system composing of PV grid and thermal generator via firefly algorithm, Neural Computing and Applications, 30:2, (607-616), Online publication date: 1-Jul-2018.
  565. Chen H and Shen J (2018). Denoising of point cloud data for computer-aided design, engineering, and manufacturing, Engineering with Computers, 34:3, (523-541), Online publication date: 1-Jul-2018.
  566. ACM
    Mafarja M, Jarrar R, Ahmad S and Abusnaina A Feature selection using binary particle swarm optimization with time varying inertia weight strategies Proceedings of the 2nd International Conference on Future Networks and Distributed Systems, (1-9)
  567. Lasheras J, Lasheras F, Donquiles C, Tardón A, Vynals G, Gómez B, Palazuelos C, Sala D and de Cos Juez F Classification of Prostate Cancer Patients and Healthy Individuals by Means of a Hybrid Algorithm Combing SVM and Evolutionary Algorithms Hybrid Artificial Intelligent Systems, (547-557)
  568. Song W and Huang C Discovering High Utility Itemsets Based on the Artificial Bee Colony Algorithm Advances in Knowledge Discovery and Data Mining, (3-14)
  569. Rahnamay Naeini M, Yang T, Sadegh M, AghaKouchak A, Hsu K, Sorooshian S, Duan Q and Lei X (2018). Shuffled Complex-Self Adaptive Hybrid EvoLution (SC-SAHEL) optimization framework, Environmental Modelling & Software, 104:C, (215-235), Online publication date: 1-Jun-2018.
  570. Cruz N, Álvarez J, Redondo J, Berenguel M and Ortigosa P (2018). A two-layered solution for automatic heliostat aiming, Engineering Applications of Artificial Intelligence, 72:C, (253-266), Online publication date: 1-Jun-2018.
  571. Fathollahi-Fard A, Hajiaghaei-Keshteli M and Tavakkoli-Moghaddam R (2018). The Social Engineering Optimizer (SEO), Engineering Applications of Artificial Intelligence, 72:C, (267-293), Online publication date: 1-Jun-2018.
  572. Tabrizi B (2018). Integrated planning of project scheduling and material procurement considering the environmental impacts, Computers and Industrial Engineering, 120:C, (103-115), Online publication date: 1-Jun-2018.
  573. Anescu G and Ulmeanu A (2018). A No Speeds and Coefficients PSO approach to reliability optimization problems, Computers and Industrial Engineering, 120:C, (31-41), Online publication date: 1-Jun-2018.
  574. Tan X, Gong Z, Chiclana F and Zhang N (2018). Consensus modeling with cost chance constraint under uncertainty opinions, Applied Soft Computing, 67:C, (721-727), Online publication date: 1-Jun-2018.
  575. Sharma A and Mathur S (2018). Comparative Analysis of ML-PSO DOA Estimation with Conventional Techniques in Varied Multipath Channel Environment, Wireless Personal Communications: An International Journal, 100:3, (803-817), Online publication date: 1-Jun-2018.
  576. Zojaji Z and Ebadzadeh M (2018). Semantic schema modeling for genetic programming using clustering of building blocks, Applied Intelligence, 48:6, (1442-1460), Online publication date: 1-Jun-2018.
  577. ACM
    Fredericks E An empirical analysis of the mutation operator for run-time adaptive testing in self-adaptive systems Proceedings of the 11th International Workshop on Search-Based Software Testing, (59-66)
  578. ACM
    Lattas A and Spinellis D Echoes from space Proceedings of the 40th International Conference on Software Engineering: Software Engineering in Practice, (105-114)
  579. Konar D, Sharma K, Sarogi V and Bhattacharyya S (2018). A Multi-Objective Quantum-Inspired Genetic Algorithm (Mo-QIGA) for Real-Time Tasks Scheduling in Multiprocessor Environment, Procedia Computer Science, 131:C, (591-599), Online publication date: 1-May-2018.
  580. Hitomi N and Selva D (2018). Incorporating expert knowledge into evolutionary algorithms with operators and constraints to design satellite systems, Applied Soft Computing, 66:C, (330-345), Online publication date: 1-May-2018.
  581. Ng K, Lee C, Chan F and Lv Y (2018). Review on meta-heuristics approaches for airside operation research, Applied Soft Computing, 66:C, (104-133), Online publication date: 1-May-2018.
  582. Guo J, Sun L, Li W and Yu T (2018). Applying uncertainty theory to group recommender systems taking account of experts preferences, Multimedia Tools and Applications, 77:10, (12901-12918), Online publication date: 1-May-2018.
  583. Wang W, Zuo L and Xu X (2018). A Learning-based Multi-RRT Approach for Robot Path Planning in Narrow Passages, Journal of Intelligent and Robotic Systems, 90:1-2, (81-100), Online publication date: 1-May-2018.
  584. Al-Betar M, Awadallah M, Khader A, Bolaji A and Almomani A (2018). Economic load dispatch problems with valve-point loading using natural updated harmony search, Neural Computing and Applications, 29:10, (767-781), Online publication date: 1-May-2018.
  585. Jahed Armaghani D, Hasanipanah M, Mahdiyar A, Abd Majid M, Bakhshandeh Amnieh H and Tahir M (2018). Airblast prediction through a hybrid genetic algorithm-ANN model, Neural Computing and Applications, 29:9, (619-629), Online publication date: 1-May-2018.
  586. Telikani A and Shahbahrami A (2018). Data sanitization in association rule mining, Expert Systems with Applications: An International Journal, 96:C, (406-426), Online publication date: 15-Apr-2018.
  587. Mafarja M, Aljarah I, Heidari A, Hammouri A, Faris H, Al-Zoubi A and Mirjalili S (2018). Evolutionary Population Dynamics and Grasshopper Optimization approaches for feature selection problems, Knowledge-Based Systems, 145:C, (25-45), Online publication date: 1-Apr-2018.
  588. Shaelaie M, Ranjbar M and Jamili N (2018). Integration of parts transportation without cross docking in a supply chain, Computers and Industrial Engineering, 118:C, (67-79), Online publication date: 1-Apr-2018.
  589. Ahmadi E, Goldengorin B, Süer G and Mosadegh H (2018). A hybrid method of 2-TSP and novel learning-based GA for job sequencing and tool switching problem, Applied Soft Computing, 65:C, (214-229), Online publication date: 1-Apr-2018.
  590. Wei C, Zhou B and Guo W (2018). Multi-focus image fusion based on nonsubsampled compactly supported shearlet transform, Multimedia Tools and Applications, 77:7, (8327-8358), Online publication date: 1-Apr-2018.
  591. Hemanth D and Anitha J (2018). A Pattern-Based Artificial Bee Colony Algorithm for Motion Estimation in Video Compression Techniques, Circuits, Systems, and Signal Processing, 37:4, (1609-1624), Online publication date: 1-Apr-2018.
  592. Baldominos A, Saez Y and Isasi P (2018). Evolutionary convolutional neural networks, Neurocomputing, 283:C, (38-52), Online publication date: 29-Mar-2018.
  593. de Leon-Delgado H, Praga-Alejo R, Gonzalez-Gonzalez D and Cant-Sifuentes M (2018). Multivariate statistical inference in a radial basis function neural network, Expert Systems with Applications: An International Journal, 93:C, (313-321), Online publication date: 1-Mar-2018.
  594. Chen Y, Chiu F, Lin W and Huang Y (2018). An integrated model for online product placement and inventory control problem in a drop-shipping optional environment, Computers and Industrial Engineering, 117:C, (71-80), Online publication date: 1-Mar-2018.
  595. Long J, Zheng Z, Gao X and Pardalos P (2018). Scheduling a realistic hybrid flow shop with stage skipping and adjustable processing time in steel plants, Applied Soft Computing, 64:C, (536-549), Online publication date: 1-Mar-2018.
  596. Babapour R, Naghdi R, Ghajar I and Mortazavi Z (2018). Forest road profile optimization using meta-heuristic techniques, Applied Soft Computing, 64:C, (126-137), Online publication date: 1-Mar-2018.
  597. Karatas M (2018). Optimal deployment of heterogeneous sensor networks for a hybrid point and barrier coverage application, Computer Networks: The International Journal of Computer and Telecommunications Networking, 132:C, (129-144), Online publication date: 26-Feb-2018.
  598. ACM
    Shehadeh H, Ahmedy I and Idris M Sperm Swarm Optimization Algorithm for Optimizing Wireless Sensor Network Challenges Proceedings of the 6th International Conference on Communications and Broadband Networking, (53-59)
  599. Pawiak P (2018). Novel methodology of cardiac health recognition based on ECG signals and evolutionary-neural system, Expert Systems with Applications: An International Journal, 92:C, (334-349), Online publication date: 1-Feb-2018.
  600. Rizk-Allah R, El-Sehiemy R and Wang G (2018). A novel parallel hurricane optimization algorithm for secure emission/economic load dispatch solution, Applied Soft Computing, 63:C, (206-222), Online publication date: 1-Feb-2018.
  601. Sharma G and Kumar A (2018). Improved DV-Hop localization algorithm using teaching learning based optimization for wireless sensor networks, Telecommunications Systems, 67:2, (163-178), Online publication date: 1-Feb-2018.
  602. Choo S and Lee H (2018). Learning framework of multimodal GaussianBernoulli RBM handling real-value input data, Neurocomputing, 275:C, (1813-1822), Online publication date: 31-Jan-2018.
  603. Wang T, Cui X, Yu D, Aramoon O, Dunlap T, Qu G and Cui X Polymorphic gate based IC watermarking techniques Proceedings of the 23rd Asia and South Pacific Design Automation Conference, (90-96)
  604. Wang H, Yang D, Yu Q and Tao Y (2018). Integrating modified cuckoo algorithm and creditability evaluation for QoS-aware service composition, Knowledge-Based Systems, 140:C, (64-81), Online publication date: 15-Jan-2018.
  605. Hwang Y, Lee J, Kim G, Shin E and Kim S (2018). Characterization of coronary plaque regions in intravascular ultrasound images using a hybrid ensemble classifier, Computer Methods and Programs in Biomedicine, 153:C, (83-92), Online publication date: 1-Jan-2018.
  606. Fuentes-Hurtado F, Diego-Mas J, Naranjo V, Alcañiz M and Romero J (2018). Evolutionary Computation for Modelling Social Traits in Realistic Looking Synthetic Faces, Complexity, 2018, Online publication date: 1-Jan-2018.
  607. Wang H, Hu Z, Sun Y, Su Q, Xia X and Conforto S (2018). Modified Backtracking Search Optimization Algorithm Inspired by Simulated Annealing for Constrained Engineering Optimization Problems, Computational Intelligence and Neuroscience, 2018, Online publication date: 1-Jan-2018.
  608. Shi L, Wan Y, Gao X, Wang M and Gutierrez P (2018). Feature Selection for Object-Based Classification of High-Resolution Remote Sensing Images Based on the Combination of a Genetic Algorithm and Tabu Search, Computational Intelligence and Neuroscience, 2018, Online publication date: 1-Jan-2018.
  609. Pai P, Hong L, Lin K and Gastaldo P (2018). Using Internet Search Trends and Historical Trading Data for Predicting Stock Markets by the Least Squares Support Vector Regression Model, Computational Intelligence and Neuroscience, 2018, Online publication date: 1-Jan-2018.
  610. Kang B, Choi S, Kwon S, Lee J, Kim T and Koczy L (2018). Simulation-Based Optimization on the System-of-Systems Model via Model Transformation and Genetic Algorithm, Complexity, 2018, Online publication date: 1-Jan-2018.
  611. Sabelfeld K (2018). Stochastic projection methods and applications to some nonlinear inverse problems of phase retrieving, Mathematics and Computers in Simulation, 143:C, (169-175), Online publication date: 1-Jan-2018.
  612. Stolfi D and Alba E (2018). Epigenetic algorithms, Information Sciences: an International Journal, 424:C, (250-272), Online publication date: 1-Jan-2018.
  613. Zhang N, Gong Z and Chiclana F (2017). Minimum cost consensus models based on random opinions, Expert Systems with Applications: An International Journal, 89:C, (149-159), Online publication date: 15-Dec-2017.
  614. Saxena A, Prasad M, Gupta A, Bharill N, Patel O, Tiwari A, Er M, Ding W and Lin C (2017). A review of clustering techniques and developments, Neurocomputing, 267:C, (664-681), Online publication date: 6-Dec-2017.
  615. ACM
    Sriwindono H, Rosa P, Polina A and Nugroho R The Model of Elementary School Teachers Placement in Magelang District by Using Genetic Algorithm Proceedings of the 2017 International Conference on Computer Science and Artificial Intelligence, (143-147)
  616. ACM
    Byholm B and Porres I Optimized Deployment Plans for Platform as a Service Clouds Companion Proceedings of the10th International Conference on Utility and Cloud Computing, (41-46)
  617. ACM
    Mueller J Combining aspects of genetic algorithms with weighted recommender hybridization Proceedings of the 19th International Conference on Information Integration and Web-based Applications & Services, (13-22)
  618. Hglund H (2017). Tax payment default prediction using genetic algorithm-based variable selection, Expert Systems with Applications: An International Journal, 88:C, (368-375), Online publication date: 1-Dec-2017.
  619. ACM
    Kán P and Kaufmann H Automated interior design using a genetic algorithm Proceedings of the 23rd ACM Symposium on Virtual Reality Software and Technology, (1-10)
  620. Guido R and Conforti D (2017). A hybrid genetic approach for solving an integrated multi-objective operating room planning and scheduling problem, Computers and Operations Research, 87:C, (270-282), Online publication date: 1-Nov-2017.
  621. Fleck M, Troya J, Kessentini M, Wimmer M and Alkhazi B (2017). Model Transformation Modularization as a Many-Objective Optimization Problem, IEEE Transactions on Software Engineering, 43:11, (1009-1032), Online publication date: 1-Nov-2017.
  622. Matic D, Kratica J and Maksimovic Z (2017). Solving the minimum edge-dilation k-center problem by genetic algorithms, Computers and Industrial Engineering, 113:C, (282-293), Online publication date: 1-Nov-2017.
  623. da Silveira Farias E, Li J, Galvez J and Borenstein D (2017). Simple heuristic for the strategic supply chain design of large-scale networks, Computers and Industrial Engineering, 113:C, (746-756), Online publication date: 1-Nov-2017.
  624. Maleki H, Khanduzi R and Akbari R (2017). A novel hybrid algorithm for solving continuous single-objective defensive location problem, Neural Computing and Applications, 28:11, (3323-3340), Online publication date: 1-Nov-2017.
  625. Jahanshahi M, Maleki E and Ghiami A (2017). On the efficiency of artificial neural networks for plastic analysis of planar frames in comparison with genetic algorithms and ant colony systems, Neural Computing and Applications, 28:11, (3209-3227), Online publication date: 1-Nov-2017.
  626. Yıldırım M, Ince O, Ince I, Salman Y, Park J and Yoon B Application of maximized inter-class variance for gender classification using RGB-depth camera 2017 17th International Conference on Control, Automation and Systems (ICCAS), (1433-1435)
  627. Pourabdollah M, Bjärkvik E, Fürer F, Lindenberg B and Burgdorf K Calibration and evaluation of car following models using real-world driving data 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), (1-6)
  628. Parwekar P and Rodda S (2017). Optimization of Clustering in Wireless Sensor Networks Using Genetic Algorithm, International Journal of Applied Metaheuristic Computing, 8:4, (84-98), Online publication date: 1-Oct-2017.
  629. Pandey A and Banerjee S (2017). Test Suite Optimization Using Chaotic Firefly Algorithm in Software Testing, International Journal of Applied Metaheuristic Computing, 8:4, (41-57), Online publication date: 1-Oct-2017.
  630. Moussa R and Azar D (2017). A PSO-GA approach targeting fault-prone software modules, Journal of Systems and Software, 132:C, (41-49), Online publication date: 1-Oct-2017.
  631. HAKLI H and UUZ H (2017). A novel approach for automated land partitioning using genetic algorithm, Expert Systems with Applications: An International Journal, 82:C, (10-18), Online publication date: 1-Oct-2017.
  632. Coelho F and Neto J (2017). A method for regularization of evolutionary polynomial regression, Applied Soft Computing, 59:C, (223-228), Online publication date: 1-Oct-2017.
  633. Mousavirad S and Ebrahimpour-Komleh H (2017). Human mental search, Applied Intelligence, 47:3, (850-887), Online publication date: 1-Oct-2017.
  634. García-Martínez C, Gutiérrez P, Molina D, Lozano M and Herrera F (2017). Since CEC 2005 competition on real-parameter optimisation, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 21:19, (5573-5583), Online publication date: 1-Oct-2017.
  635. Zhang L, Li K, Zhang Y, Qi Y and Yang L (2017). Adaptive image segmentation based on color clustering for person re-identification, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 21:19, (5729-5739), Online publication date: 1-Oct-2017.
  636. Hasanipanah M, Golzar S, Larki I, Maryaki M and Ghahremanians T (2017). Estimation of blast-induced ground vibration through a soft computing framework, Engineering with Computers, 33:4, (951-959), Online publication date: 1-Oct-2017.
  637. ACM
    Aleti A and Moser I (2016). A Systematic Literature Review of Adaptive Parameter Control Methods for Evolutionary Algorithms, ACM Computing Surveys, 49:3, (1-35), Online publication date: 30-Sep-2017.
  638. Mundim L, Andretta M and de Queiroz T (2017). A biased random key genetic algorithm for open dimension nesting problems using no-fit raster, Expert Systems with Applications: An International Journal, 81:C, (358-371), Online publication date: 15-Sep-2017.
  639. Shabani M, Abolghasem Mirroshandel S and Asheri H (2017). Selective Refining Harmony Search, Expert Systems with Applications: An International Journal, 81:C, (423-443), Online publication date: 15-Sep-2017.
  640. Venetsky L, Collins D, Boczar R, Lehaf G and Shannon R A system to automatically generate test program sets 2017 IEEE AUTOTESTCON, (1-10)
  641. Gao Q, Lee T and Yau C (2017). Nonparametric modeling and break point detection for time series signal of counts, Signal Processing, 138:C, (307-312), Online publication date: 1-Sep-2017.
  642. Hayashida T, Nishizaki I, Sekizaki S and Takeuchi H (2017). Improved anticipatory classifier system with internal memory for POMDPs with aliased states, Procedia Computer Science, 112:C, (215-224), Online publication date: 1-Sep-2017.
  643. Ting C, Liao X, Huang Y and Liaw R (2017). Multi-vehicle selective pickup and delivery using metaheuristic algorithms, Information Sciences: an International Journal, 406:C, (146-169), Online publication date: 1-Sep-2017.
  644. Elmi A and Topaloglu S (2017). Cyclic job shop robotic cell scheduling problem, Computers and Industrial Engineering, 111:C, (417-432), Online publication date: 1-Sep-2017.
  645. Bahrami B, Jabraeil Jamali M and Saeidi S (2017). A Demand-Based Structure for the Architecture of Wireless Networks on Chip, Wireless Personal Communications: An International Journal, 96:1, (455-473), Online publication date: 1-Sep-2017.
  646. Silva G, Silva Neto O, Silva A, Paiva A and Gattass M (2017). Lung nodules diagnosis based on evolutionary convolutional neural network, Multimedia Tools and Applications, 76:18, (19039-19055), Online publication date: 1-Sep-2017.
  647. Sundar S and Singh A (2017). Two grouping-based metaheuristics for clique partitioning problem, Applied Intelligence, 47:2, (430-442), Online publication date: 1-Sep-2017.
  648. Chen B, Lin Y, Zeng W, Xu H and Zhang D (2017). The mean-variance cardinality constrained portfolio optimization problem using a local search-based multi-objective evolutionary algorithm, Applied Intelligence, 47:2, (505-525), Online publication date: 1-Sep-2017.
  649. Zhang B, Yuan H, Sun L, Shi J, Ma Z and Zhou L (2017). A two-stage framework for bat algorithm, Neural Computing and Applications, 28:9, (2605-2619), Online publication date: 1-Sep-2017.
  650. Ramirez-Atencia C, Bello-Orgaz G, R-Moreno M and Camacho D (2017). Solving complex multi-UAV mission planning problems using multi-objective genetic algorithms, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 21:17, (4883-4900), Online publication date: 1-Sep-2017.
  651. Spieker H, Hagg A, Gaier A, Meilinger S and Asteroth A (2017). Multi-stage evolution of single- and multi-objective MCLP, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 21:17, (4859-4872), Online publication date: 1-Sep-2017.
  652. Agrawal V, Lightner C, Lightner-Laws C and Wagner N (2017). A bi-criteria evolutionary algorithm for a constrained multi-depot vehicle routing problem, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 21:17, (5159-5178), Online publication date: 1-Sep-2017.
  653. Lin J, Yang L, Fournier-Viger P, Hong T and Voznak M (2017). A binary PSO approach to mine high-utility itemsets, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 21:17, (5103-5121), Online publication date: 1-Sep-2017.
  654. Genc B, Siala M, Simonin G and O'Sullivan B Finding robust solutions to stable marriage Proceedings of the 26th International Joint Conference on Artificial Intelligence, (631-637)
  655. Li X, Epitropakis M, Deb K and Engelbrecht A (2017). Seeking Multiple Solutions: An Updated Survey on Niching Methods and Their Applications, IEEE Transactions on Evolutionary Computation, 21:4, (518-538), Online publication date: 1-Aug-2017.
  656. Zamli K, Din F, Kendall G and Ahmed B (2017). An experimental study of hyper-heuristic selection and acceptance mechanism for combinatorial t-way test suite generation, Information Sciences: an International Journal, 399:C, (121-153), Online publication date: 1-Aug-2017.
  657. Du J, Li X, Yu L, Dan R and Zhou J (2017). Multi-depot vehicle routing problem for hazardous materials transportation, Information Sciences: an International Journal, 399:C, (201-218), Online publication date: 1-Aug-2017.
  658. Kaveh A and Dadras A (2017). A novel meta-heuristic optimization algorithm, Advances in Engineering Software, 110:C, (69-84), Online publication date: 1-Aug-2017.
  659. Swain R and Khilar P (2017). Composite Fault Diagnosis in Wireless Sensor Networks Using Neural Networks, Wireless Personal Communications: An International Journal, 95:3, (2507-2548), Online publication date: 1-Aug-2017.
  660. ACM
    Berny A In hypercubo nigrae capsulae optimum Proceedings of the Genetic and Evolutionary Computation Conference Companion, (1179-1186)
  661. ACM
    Caldwell J and Watson R How to get more from your model Proceedings of the Genetic and Evolutionary Computation Conference Companion, (101-102)
  662. ACM
    Picek S Evolutionary computation and cryptology Proceedings of the Genetic and Evolutionary Computation Conference Companion, (1066-1093)
  663. ACM
    Doerr B Theory for non-theoreticians Proceedings of the Genetic and Evolutionary Computation Conference Companion, (389-412)
  664. Garcia R, de Lima B, Lemonge A and Jacob B (2017). A rank-based constraint handling technique for engineering design optimization problems solved by genetic algorithms, Computers and Structures, 187:C, (77-87), Online publication date: 15-Jul-2017.
  665. Lu K, An X, Li J and He H (2017). Efficient deep network for vision-based object detection in robotic applications, Neurocomputing, 245:C, (31-45), Online publication date: 5-Jul-2017.
  666. ACM
    Gliesch A, Ritt M and Moreira M A genetic algorithm for fair land allocation Proceedings of the Genetic and Evolutionary Computation Conference, (793-800)
  667. ACM
    Contaldi C, Vafaee F and Nelson P The role of crossover operator in bayesian network structure learning performance Proceedings of the Genetic and Evolutionary Computation Conference, (769-776)
  668. ACM
    Justesen N and Risi S Continual online evolutionary planning for in-game build order adaptation in StarCraft Proceedings of the Genetic and Evolutionary Computation Conference, (187-194)
  669. Onan A, Korukolu S and Bulut H (2017). A hybrid ensemble pruning approach based on consensus clustering and multi-objective evolutionary algorithm for sentiment classification, Information Processing and Management: an International Journal, 53:4, (814-833), Online publication date: 1-Jul-2017.
  670. Qin Z (2017). Random fuzzy mean-absolute deviation models for portfolio optimization problem with hybrid uncertainty, Applied Soft Computing, 56:C, (597-603), Online publication date: 1-Jul-2017.
  671. Dey S, Bhattacharyya S and Maulik U (2017). Efficient quantum inspired meta-heuristics for multi-level true colour image thresholding, Applied Soft Computing, 56:C, (472-513), Online publication date: 1-Jul-2017.
  672. Baykasolu A and Akpinar e (2017). Weighted Superposition Attraction (WSA), Applied Soft Computing, 56:C, (520-540), Online publication date: 1-Jul-2017.
  673. Maheri M, Shokrian H and Narimani M (2017). An enhanced honey bee mating optimization algorithm for design of side sway steel frames, Advances in Engineering Software, 109:C, (62-72), Online publication date: 1-Jul-2017.
  674. Karagiannis G, Konomi B, Lin G and Liang F (2017). Parallel and interacting stochastic approximation annealing algorithms for global optimisation, Statistics and Computing, 27:4, (927-945), Online publication date: 1-Jul-2017.
  675. Mishra S, Saha S and Mondal S (2017). GAEMTBD, Applied Intelligence, 47:1, (197-230), Online publication date: 1-Jul-2017.
  676. Singh P, Dutta M and Aggarwal N (2017). A review of task scheduling based on meta-heuristics approach in cloud computing, Knowledge and Information Systems, 52:1, (1-51), Online publication date: 1-Jul-2017.
  677. Tandis E and Assareh E (2017). Inverse design of airfoils via an intelligent hybrid optimization technique, Engineering with Computers, 33:3, (361-374), Online publication date: 1-Jul-2017.
  678. Kóczy L, Földesi P and Tüű‐Szabó B (2017). An effective Discrete Bacterial Memetic Evolutionary Algorithm for the Traveling Salesman Problem, International Journal of Intelligent Systems, 32:8, (862-876), Online publication date: 7-Jun-2017.
  679. Tanweer M, Suresh S and Sundararajan N Development of a Higher Order Cognitive Optimization algorithm 2017 IEEE Congress on Evolutionary Computation (CEC), (2752-2758)
  680. Li X, Huiyan Yang , Meihua Yang , Xian Yang and Yang G Accelerating artificial bee colony algorithm with neighborhood search 2017 IEEE Congress on Evolutionary Computation (CEC), (1549-1556)
  681. Alixandre B and Dorn M D-BRKGA: A Distributed Biased Random-Key Genetic Algorithm 2017 IEEE Congress on Evolutionary Computation (CEC), (1398-1405)
  682. Hao Wei , Timmis J and Alexander R Evolving test environments to identify faults in swarm robotics algorithms 2017 IEEE Congress on Evolutionary Computation (CEC), (929-935)
  683. Torabi S and Wahde M Fuel consumption optimization of heavy-duty vehicles using genetic algorithms 2017 IEEE Congress on Evolutionary Computation (CEC), (29-36)
  684. Zhang Y, Gong Y, Zhang H, Gu T and Zhang J (2017). Toward Fast Niching Evolutionary Algorithms: A Locality Sensitive Hashing-Based Approach, IEEE Transactions on Evolutionary Computation, 21:3, (347-362), Online publication date: 1-Jun-2017.
  685. Chen C and Yu C (2017). A Series-based group stock portfolio optimization approach using the grouping genetic algorithm with symbolic aggregate Approximations, Knowledge-Based Systems, 125:C, (146-163), Online publication date: 1-Jun-2017.
  686. Kamal M, Chowdhury L, Khan M, Ashour A, Tavares J and Dey N (2017). Hidden Markov model and Chapman Kolmogrov for protein structures prediction from images, Computational Biology and Chemistry, 68:C, (231-244), Online publication date: 1-Jun-2017.
  687. Pradhan P and Panda G (2017). Information Combining Schemes for Cooperative Spectrum Sensing, Wireless Personal Communications: An International Journal, 94:3, (685-711), Online publication date: 1-Jun-2017.
  688. González-Álvarez D, Vega-Rodríguez M and Rubio-Largo Á (2017). A hybrid MPI/OpenMP parallel implementation of NSGA-II for finding patterns in protein sequences, The Journal of Supercomputing, 73:6, (2285-2312), Online publication date: 1-Jun-2017.
  689. Kim J, Lee W, Song J and Lee S (2017). Optimized combinatorial clustering for stochastic processes, Cluster Computing, 20:2, (1135-1148), Online publication date: 1-Jun-2017.
  690. Cruz C, Kirley M and Karakiewicz J An interactive approach for evolving pareto optimal architectural form Proceedings of the Symposium on Simulation for Architecture and Urban Design, (1-8)
  691. Gupta K, Deep K and Bansal J (2017). Improving the Local Search Ability of Spider Monkey Optimization Algorithm Using Quadratic Approximation for Unconstrained Optimization, Computational Intelligence, 33:2, (210-240), Online publication date: 1-May-2017.
  692. Yassine A, Mostafa O and Browning T (2017). Scheduling multiple, resource-constrained, iterative, product development projects with genetic algorithms, Computers and Industrial Engineering, 107:C, (39-56), Online publication date: 1-May-2017.
  693. Huang T and Huang Y (2017). Where are my cooperative learning companions, Multimedia Tools and Applications, 76:9, (11547-11565), Online publication date: 1-May-2017.
  694. Wang J, Sun J, Yuan Q and Pang J Should We Learn Probabilistic Models for Model Checking? A New Approach and An Empirical Study Proceedings of the 20th International Conference on Fundamental Approaches to Software Engineering - Volume 10202, (3-21)
  695. Strasser S, Sheppard J, Fortier N and Goodman R (2017). Factored Evolutionary Algorithms, IEEE Transactions on Evolutionary Computation, 21:2, (281-293), Online publication date: 1-Apr-2017.
  696. Stein A, Rauh D, Tomforde S and Hhner J (2017). Interpolation in the eXtended Classifier System, Journal of Systems Architecture: the EUROMICRO Journal, 75:C, (79-94), Online publication date: 1-Apr-2017.
  697. Ouyang H, Gao L, Li S, Kong X, Wang Q and Zou D (2017). Improved Harmony Search Algorithm, Applied Soft Computing, 53:C, (133-167), Online publication date: 1-Apr-2017.
  698. Mohammadi M and Forghani K (2017). A hybrid method based on genetic algorithm and dynamic programming for solving a bi-objective cell formation problem considering alternative process routings and machine duplication, Applied Soft Computing, 53:C, (97-110), Online publication date: 1-Apr-2017.
  699. Liu Q, Yang G, Zhang Z and Zeng J (2017). Improving the convergence rate of the DIRECT global optimization algorithm, Journal of Global Optimization, 67:4, (851-872), Online publication date: 1-Apr-2017.
  700. Akyol S and Alatas B (2017). Plant intelligence based metaheuristic optimization algorithms, Artificial Intelligence Review, 47:4, (417-462), Online publication date: 1-Apr-2017.
  701. ACM
    Kumar A and Kotecha P Optimal Pollution Trading using Fireworks Algorithm and Genetic Algorithm Proceedings of the 2017 International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence, (35-39)
  702. Konstantinov S and Baryshnikov A (2017). Comparative Analysis of Evolutionary Algorithms for the Problem of Parametric Optimization of PID Controllers, Procedia Computer Science, 103:C, (100-107), Online publication date: 1-Mar-2017.
  703. Kumar M and Guria C (2017). The elitist non-dominated sorting genetic algorithm with inheritance (i-NSGA-II) and its jumping gene adaptations for multi-objective optimization, Information Sciences: an International Journal, 382:C, (15-37), Online publication date: 1-Mar-2017.
  704. Fernndez P, Pelegrn B, Laninskas A and ilinskas J (2017). New heuristic algorithms for discrete competitive location problems with binary and partially binary customer behavior, Computers and Operations Research, 79:C, (12-18), Online publication date: 1-Mar-2017.
  705. Jesenik M, Bekovi M, Hamler A and Trlep M (2017). Analytical modelling of a magnetization curve obtained by the measurements of magnetic materials properties using evolutionary algorithms, Applied Soft Computing, 52:C, (387-408), Online publication date: 1-Mar-2017.
  706. Abarghooei H, Arabi H, Seyedein S and Mirzakhani B (2017). Modeling of steady state hot flow behavior of API-X70 microalloyed steel using genetic algorithm and design of experiments, Applied Soft Computing, 52:C, (471-477), Online publication date: 1-Mar-2017.
  707. Rakhshani H and Rahati A (2017). Snap-drift cuckoo search, Applied Soft Computing, 52:C, (771-794), Online publication date: 1-Mar-2017.
  708. Nama S, Saha A and Ghosh S (2017). Improved backtracking search algorithm for pseudo dynamic active earth pressure on retaining wall supporting c- backfill, Applied Soft Computing, 52:C, (885-897), Online publication date: 1-Mar-2017.
  709. ACM
    Pavai G and Geetha T (2016). A Survey on Crossover Operators, ACM Computing Surveys, 49:4, (1-43), Online publication date: 6-Feb-2017.
  710. Egger B, Lee H, Kang D, Moghaddam M, Cho Y, Lee Y, Kim S, Ha S and Choi K A space- and energy-efficient code Compression/Decompression technique for coarse-grained reconfigurable architectures Proceedings of the 2017 International Symposium on Code Generation and Optimization, (197-209)
  711. Chen Z and Kuo R (2017). Evolutionary Algorithm-Based Radial Basis Function Neural Network Training for Industrial Personal Computer Sales Forecasting, Computational Intelligence, 33:1, (56-76), Online publication date: 1-Feb-2017.
  712. Kan G, Lei T, Liang K, Li J, Ding L, He X, Yu H, Zhang D, Zuo D, Bao Z, Amo-Boateng M, Hu Y and Zhang M (2017). A multi-core CPU and many-core GPU based fast parallel shuffled complex evolution global optimization approach, IEEE Transactions on Parallel and Distributed Systems, 28:2, (332-344), Online publication date: 1-Feb-2017.
  713. Pulgar-Rubio F, Rivera-Rivas A, Pérez-Godoy M, González P, Carmona C and del Jesus M (2017). MEFASD-BD, Knowledge-Based Systems, 117:C, (70-78), Online publication date: 1-Feb-2017.
  714. Awad N, Ali M, Suganthan P and Reynolds R (2017). CADE, Information Sciences: an International Journal, 378:C, (215-241), Online publication date: 1-Feb-2017.
  715. Li F, Yang J, Jin C and Guo C (2017). A new effect-based roughness measure for attribute reduction in information system, Information Sciences: an International Journal, 378:C, (348-362), Online publication date: 1-Feb-2017.
  716. Palomo-Romero J, Salas-Morera L and García-Hernández L (2017). An island model genetic algorithm for unequal area facility layout problems, Expert Systems with Applications: An International Journal, 68:C, (151-162), Online publication date: 1-Feb-2017.
  717. Ordóñez Galán C, Sánchez Lasheras F, de Cos Juez F and Bernardo Sánchez A (2017). Missing data imputation of questionnaires by means of genetic algorithms with different fitness functions, Journal of Computational and Applied Mathematics, 311:C, (704-717), Online publication date: 1-Feb-2017.
  718. Wu J, Zhan J and Lin J (2017). An ACO-based approach to mine high-utility itemsets, Knowledge-Based Systems, 116:C, (102-113), Online publication date: 15-Jan-2017.
  719. Lotfi R, Mehrjerdi Y and Mardani N (2017). A Multi-Objective and Multi-Product Advertising Billboard Location Model with Attraction Factor Mathematical Modeling and Solutions, International Journal of Applied Logistics, 7:1, (64-86), Online publication date: 1-Jan-2017.
  720. Chen W, Wang Y, Zhang J and Lu S (2017). Uncertain portfolio selection with high-order moments, Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, 33:3, (1397-1411), Online publication date: 1-Jan-2017.
  721. Saif S, Vasant P and Watada J (2017). An adaptive heuristic optimization algorithm based on politics, Intelligent Decision Technologies, 11:1, (127-136), Online publication date: 1-Jan-2017.
  722. Hussain A, Muhammad Y, Nauman Sajid M, Hussain I, Mohamd Shoukry A, Gani S and Conforto S (2017). Genetic Algorithm for Traveling Salesman Problem with Modified Cycle Crossover Operator, Computational Intelligence and Neuroscience, 2017, Online publication date: 1-Jan-2017.
  723. Sánchez D, Melin P, Castillo O and Hernández-Pérez J (2017). A Grey Wolf Optimizer for Modular Granular Neural Networks for Human Recognition, Computational Intelligence and Neuroscience, 2017, Online publication date: 1-Jan-2017.
  724. Elahi A, Qureshi I, Zaman F, Gul N, Saleem T and Pérez-Jiménez R (2017). Suppression of Mutual Interference in Noncontiguous Orthogonal Frequency Division Multiplexing Based Cognitive Radio Systems, Wireless Communications & Mobile Computing, 2017, Online publication date: 1-Jan-2017.
  725. Englander J, Vavrina M, Lim L, McFadden L, Rhoden A and Noll K (2017). Trajectory Optimization for Missions to Small Bodies with a Focus on Scientific Merit, Computing in Science and Engineering, 19:4, (18-28), Online publication date: 1-Jan-2017.
  726. Kencana E, Harini I and Mayuliana K (2017). The Performance of Ant System in Solving Multi Traveling Salesmen Problem, Procedia Computer Science, 124:C, (46-52), Online publication date: 1-Jan-2017.
  727. Sasikala S, Appavu alias Balamurugan S and Geetha S (2017). A novel adaptive feature selector for supervised classification, Information Processing Letters, 117:C, (25-34), Online publication date: 1-Jan-2017.
  728. Salem H, Attiya G and El-Fishawy N (2017). Classification of human cancer diseases by gene expression profiles, Applied Soft Computing, 50:C, (124-134), Online publication date: 1-Jan-2017.
  729. Goudarzi S, Hassan W, Anisi M and Soleymani S (2017). MDP-Based Network Selection Scheme by Genetic Algorithm and Simulated Annealing for Vertical-Handover in Heterogeneous Wireless Networks, Wireless Personal Communications: An International Journal, 92:2, (399-436), Online publication date: 1-Jan-2017.
  730. Mohamad E, Faradonbeh R, Armaghani D, Monjezi M and Majid M (2017). An optimized ANN model based on genetic algorithm for predicting ripping production, Neural Computing and Applications, 28:1, (393-406), Online publication date: 1-Jan-2017.
  731. Ahmadi S (2017). Human behavior-based optimization, Neural Computing and Applications, 28:1, (233-244), Online publication date: 1-Jan-2017.
  732. Farshchin M, Camp C and Maniat M (2016). Optimal design of truss structures for size and shape with frequency constraints using a collaborative optimization strategy, Expert Systems with Applications: An International Journal, 66:C, (203-218), Online publication date: 30-Dec-2016.
  733. Mishra S, Saha S and Mondal S (2016). A multiobjective optimization based entity matching technique for bibliographic databases, Expert Systems with Applications: An International Journal, 65:C, (100-115), Online publication date: 15-Dec-2016.
  734. Ibrahim D (2016). An Overview of Soft Computing, Procedia Computer Science, 102:C, (34-38), Online publication date: 1-Dec-2016.
  735. Li Y, Wang Y, Li Y, Jiao L, Zhang X and Stolkin R (2016). Single image super-resolution reconstruction based on genetic algorithm and regularization prior model, Information Sciences: an International Journal, 372:C, (196-207), Online publication date: 1-Dec-2016.
  736. Yang C, Lin B, Hwang F and Wang M (2016). Acquisition planning and scheduling of computing resources, Computers and Operations Research, 76:C, (167-182), Online publication date: 1-Dec-2016.
  737. Li J, Huang Y and Niu X (2016). A branch population genetic algorithm for dual-resource constrained job shop scheduling problem, Computers and Industrial Engineering, 102:C, (113-131), Online publication date: 1-Dec-2016.
  738. Bolaji A, Al-Betar M, Awadallah M, Khader A and Abualigah L (2016). A comprehensive review, Applied Soft Computing, 49:C, (437-446), Online publication date: 1-Dec-2016.
  739. Rosa L, Delbem A, Toledo C and Bonato V (2016). Design and analysis of evolutionary bit-length optimization algorithms for floating to fixed-point conversion, Applied Soft Computing, 49:C, (447-461), Online publication date: 1-Dec-2016.
  740. San-Jos-Revuelta L and Arribas J (2016). Three Natural Computation methods for joint channel estimation and symbol detection in multiuser communications, Applied Soft Computing, 49:C, (561-569), Online publication date: 1-Dec-2016.
  741. Wang L, Zhong Y and Yin Y (2016). Nearest neighbour cuckoo search algorithm with probabilistic mutation, Applied Soft Computing, 49:C, (498-509), Online publication date: 1-Dec-2016.
  742. Borrotti M, Minervini G, De Lucrezia D and Poli I (2016). Nave Bayes ant colony optimization for designing high dimensional experiments, Applied Soft Computing, 49:C, (259-268), Online publication date: 1-Dec-2016.
  743. Almuhaideb S and Menai M (2016). Impact of preprocessing on medical data classification, Frontiers of Computer Science: Selected Publications from Chinese Universities, 10:6, (1082-1102), Online publication date: 1-Dec-2016.
  744. Zhang H, Li B, Zhang J, Qin Y, Feng X and Liu B (2016). Parameter estimation of nonlinear chaotic system by improved TLBO strategy, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 20:12, (4965-4980), Online publication date: 1-Dec-2016.
  745. Alves dos Santos Schwaab A, Nassar S and de Freitas Filho P Automatic Generation of Type-1 and Interval Type-2 Membership Functions for Prediction of Time Series Data Advances in Artificial Intelligence - IBERAMIA 2016, (353-364)
  746. Rodrigues D, Silva G, Papa J, Marana A and Yang X (2016). EEG-based person identification through Binary Flower Pollination Algorithm, Expert Systems with Applications: An International Journal, 62:C, (81-90), Online publication date: 15-Nov-2016.
  747. Burtscher M, Mukka H, Yang A and Hesaaraki F Real-time synthesis of compression algorithms for scientific data Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, (1-12)
  748. Ijjina E and Chalavadi K (2016). Human action recognition using genetic algorithms and convolutional neural networks, Pattern Recognition, 59:C, (199-212), Online publication date: 1-Nov-2016.
  749. Hong P and Ahn C (2016). Linkage artificial bee colony for solving linkage problems, Expert Systems with Applications: An International Journal, 61:C, (378-385), Online publication date: 1-Nov-2016.
  750. Muthuramalingam S, Karthikeyan N, Geetha S and Sindhu S (2016). Stego anomaly detection in images exploiting the curvelet higher order statistics using evolutionary support vector machine, Multimedia Tools and Applications, 75:21, (13627-13661), Online publication date: 1-Nov-2016.
  751. Weise T, Wu Y, Chiong R, Tang K and Lässig J (2016). Global versus local search, Journal of Global Optimization, 66:3, (511-534), Online publication date: 1-Nov-2016.
  752. Hsieh Y and Su M (2016). A Q-learning-based swarm optimization algorithm for economic dispatch problem, Neural Computing and Applications, 27:8, (2333-2350), Online publication date: 1-Nov-2016.
  753. Luengo J, García-Vico A, Pérez-Godoy M and Carmona C (2016). The influence of noise on the evolutionary fuzzy systems for subgroup discovery, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 20:11, (4313-4330), Online publication date: 1-Nov-2016.
  754. ACM
    Livnat A and Papadimitriou C (2016). Sex as an algorithm, Communications of the ACM, 59:11, (84-93), Online publication date: 28-Oct-2016.
  755. Moravec J and Hub M (2016). Automatic correction of barrel distorted images using a cascaded evolutionary estimator, Information Sciences: an International Journal, 366:C, (70-98), Online publication date: 20-Oct-2016.
  756. Lin J, Yang L, Fournier-Viger P, Wu J, Hong T, Wang L and Zhan J (2016). Mining high-utility itemsets based on particle swarm optimization, Engineering Applications of Artificial Intelligence, 55:C, (320-330), Online publication date: 1-Oct-2016.
  757. Delgoshaei A, Ali A, Ariffin M and Gomes C (2016). A multi-period scheduling of dynamic cellular manufacturing systems in the presence of cost uncertainty, Computers and Industrial Engineering, 100:C, (110-132), Online publication date: 1-Oct-2016.
  758. Dahi Z, Mezioud C and Draa A (2016). On the efficiency of the binary flower pollination algorithm, Applied Soft Computing, 47:C, (395-414), Online publication date: 1-Oct-2016.
  759. Mohiuddin M, Khan S and Engelbrecht A (2016). Fuzzy particle swarm optimization algorithms for the open shortest path first weight setting problem, Applied Intelligence, 45:3, (598-621), Online publication date: 1-Oct-2016.
  760. Potuzak T Distributed/Parallel Genetic Algorithm for Road Traffic Network Division using a Hybrid Island Model/Step Parallelization Approach Proceedings of the 20th International Symposium on Distributed Simulation and Real-Time Applications, (170-177)
  761. ACM
    Wakamiya S, Kawasaki H, Kawai Y, Jatowt A, Aramaki E and Akiyama T Lets not stare at smartphones while walking Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, (1136-1146)
  762. Yin J, Chen D, Yang L, Tang T and Ran B (2016). Efficient Real-Time Train Operation Algorithms With Uncertain Passenger Demands, IEEE Transactions on Intelligent Transportation Systems, 17:9, (2600-2612), Online publication date: 1-Sep-2016.
  763. Duan Q and Kroese D (2016). Splitting for optimization, Computers and Operations Research, 73:C, (119-131), Online publication date: 1-Sep-2016.
  764. Elmi A and Topaloglu S (2016). Multi-degree cyclic flow shop robotic cell scheduling problem, Computers and Operations Research, 73:C, (67-83), Online publication date: 1-Sep-2016.
  765. Zhong F, Li H and Zhong S (2016). A modified ABC algorithm based on improved-global-best-guided approach and adaptive-limit strategy for global optimization, Applied Soft Computing, 46:C, (469-486), Online publication date: 1-Sep-2016.
  766. Castelli M, Trujillo L, Vanneschi L and Popovič A (2016). Prediction of relative position of CT slices using a computational intelligence system, Applied Soft Computing, 46:C, (537-542), Online publication date: 1-Sep-2016.
  767. İlhan İ (2016). Mobile device based test tool for optimization algorithms, Computer Applications in Engineering Education, 24:5, (744-754), Online publication date: 1-Sep-2016.
  768. ACM
    Alidra A and Kimour M Prototyping Software Product Lines analysis with Pharo Proceedings of the 11th edition of the International Workshop on Smalltalk Technologies, (1-11)
  769. ACM
    Baki I and Sahraoui H (2016). Multi-Step Learning and Adaptive Search for Learning Complex Model Transformations from Examples, ACM Transactions on Software Engineering and Methodology, 25:3, (1-37), Online publication date: 22-Aug-2016.
  770. Sabar N, Turky A and Song A A multi-memory multi-population memetic algorithm for dynamic shortest path routing in mobile ad-hoc networks Proceedings of the 14th Pacific Rim International Conference on Trends in Artificial Intelligence, (406-418)
  771. ACM
    Wu J, Zhan J and Lin J Mining of High-Utility Itemsets by ACO Algorithm Proceedings of the The 3rd Multidisciplinary International Social Networks Conference on SocialInformatics 2016, Data Science 2016, (1-7)
  772. Wang S, Xiao C, Liu W and Casseau E (2016). A comparison of heuristic algorithms for custom instruction selection, Microprocessors & Microsystems, 45:PA, (176-186), Online publication date: 1-Aug-2016.
  773. Ma Y, Yan F, Kang K and Wei X (2016). A novel integrated production-distribution planning model with conflict and coordination in a supply chain network, Knowledge-Based Systems, 105:C, (119-133), Online publication date: 1-Aug-2016.
  774. (2016). A Hybrid Biased Random Key Genetic Algorithm for the Quadratic Assignment Problem, Information Processing Letters, 116:8, (513-520), Online publication date: 1-Aug-2016.
  775. Lin J, Liu Q, Fournier-Viger P, Hong T, Voznak M and Zhan J (2016). A sanitization approach for hiding sensitive itemsets based on particle swarm optimization, Engineering Applications of Artificial Intelligence, 53:C, (1-18), Online publication date: 1-Aug-2016.
  776. Afzalirad M and Rezaeian J (2016). Resource-constrained unrelated parallel machine scheduling problem with sequence dependent setup times, precedence constraints and machine eligibility restrictions, Computers and Industrial Engineering, 98:C, (40-52), Online publication date: 1-Aug-2016.
  777. Tabrizi B and Ghaderi S (2016). A robust bi-objective model for concurrent planning of project scheduling and material procurement, Computers and Industrial Engineering, 98:C, (11-29), Online publication date: 1-Aug-2016.
  778. Stylianou C and Andreou A (2016). Investigating the impact of developer productivity, task interdependence type and communication overhead in a multi-objective optimization approach for software project planning, Advances in Engineering Software, 98:C, (79-96), Online publication date: 1-Aug-2016.
  779. ACM
    Liu J, Sridharan S and Fookes C (2016). Recent Advances in Camera Planning for Large Area Surveillance, ACM Computing Surveys, 49:1, (1-37), Online publication date: 28-Jul-2016.
  780. ACM
    Rocha G, Custódio F, Barbosa H and Dardenne L Using Crowding-Distance in a Multiobjective Genetic Algorithm for Protein Structure Prediction Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion, (1285-1292)
  781. ACM
    Picek S Evolutionary Computation and Cryptology Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion, (883-909)
  782. ACM
    Doerr B and Doerr C Theory for Non-Theoreticians Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion, (463-482)
  783. ACM
    Iqbal S and Hoque M A Homologous Gene Replacement based Genetic Algorithm Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion, (91-92)
  784. ACM
    Deb K and Myburgh C Breaking the Billion-Variable Barrier in Real-World Optimization Using a Customized Evolutionary Algorithm Proceedings of the Genetic and Evolutionary Computation Conference 2016, (653-660)
  785. Cheng C, Lai T, Yang D and Zhu Y (2016). Metaheuristics for protecting critical components in a service system, Expert Systems with Applications: An International Journal, 54:C, (251-264), Online publication date: 15-Jul-2016.
  786. Hofmeyr D On the topology of genetic algorithms Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, (582-588)
  787. Fleck M, Troya J and Wimmer M Search-Based Model Transformations with MOMoT Proceedings of the 9th International Conference on Theory and Practice of Model Transformations - Volume 9765, (79-87)
  788. Peng Z, Guan F, Wang K, Li T and Yao B (2016). Simulation-optimization model for one-way traffic reconfiguration, Simulation, 92:7, (627-635), Online publication date: 1-Jul-2016.
  789. Huang Y, Hwang F and Lu H (2016). An effective placement method for the single container loading problem, Computers and Industrial Engineering, 97:C, (212-221), Online publication date: 1-Jul-2016.
  790. Stojanovic B, Milivojevic M, Milivojevic N and Antonijevic D (2016). A self-tuning system for dam behavior modeling based on evolving artificial neural networks, Advances in Engineering Software, 97:C, (85-95), Online publication date: 1-Jul-2016.
  791. Cotta C, Fernández-Leiva A, Vega F, Chávez F, Merelo J, Castillo P, Camacho D and R-Moreno M Application Areas of Ephemeral Computing Transactions on Computational Collective Intelligence XXIV - Volume 9770, (153-167)
  792. Feng T, Xie Q, Hu H, Song L, Cui C and Zhang X Bean Optimization Algorithm Based on Negative Binomial Distribution Proceedings, Part I, of the 6th International Conference on Advances in Swarm and Computational Intelligence - Volume 9140, (82-88)
  793. (2016). MARLEDA, Theoretical Computer Science, 633:C, (4-18), Online publication date: 20-Jun-2016.
  794. ACM
    Mei Y, Omidvar M, Li X and Yao X (2016). A Competitive Divide-and-Conquer Algorithm for Unconstrained Large-Scale Black-Box Optimization, ACM Transactions on Mathematical Software, 42:2, (1-24), Online publication date: 3-Jun-2016.
  795. Yi S, Knudsen T and Becker M (2016). Inertia in Routines, Organization Science, 27:3, (782-800), Online publication date: 1-Jun-2016.
  796. Hu X, Wang M, Leeson M, Di Paolo E and Liu H (2016). Deterministic agent-based path optimization by mimicking the spreading of ripples, Evolutionary Computation, 24:2, (319-346), Online publication date: 1-Jun-2016.
  797. (2016). A novel metaheuristic method for solving constrained engineering optimization problems, Computers and Structures, 169:C, (1-12), Online publication date: 1-Jun-2016.
  798. Naves R, Barbosa B and Ferreira D (2016). Classification of lung sounds using higher-order statistics, Computer Methods and Programs in Biomedicine, 129:C, (12-20), Online publication date: 1-Jun-2016.
  799. Sirin U, Erdogdu U, Polat F, Tan M and Alhajj R (2016). Effective gene expression data generation framework based on multi-model approach, Artificial Intelligence in Medicine, 70:C, (41-61), Online publication date: 1-Jun-2016.
  800. Albrecht S, Crandall J and Ramamoorthy S (2016). Belief and truth in hypothesised behaviours, Artificial Intelligence, 235:C, (63-94), Online publication date: 1-Jun-2016.
  801. ACM
    Luo Q, Poshyvanyk D and Grechanik M Mining performance regression inducing code changes in evolving software Proceedings of the 13th International Conference on Mining Software Repositories, (25-36)
  802. ACM
    Park S and Park Y ITE arbitrator Proceedings of the 4th International Workshop on Software Engineering for Systems-of-Systems, (25-31)
  803. ACM
    Fredericks E Automatically hardening a self-adaptive system against uncertainty Proceedings of the 11th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, (16-27)
  804. ACM
    Fredericks E and Hariri R Extending search-based software testing techniques to big data applications Proceedings of the 9th International Workshop on Search-Based Software Testing, (41-42)
  805. Ghareb A, Bakar A and Hamdan A (2016). Hybrid feature selection based on enhanced genetic algorithm for text categorization, Expert Systems with Applications: An International Journal, 49:C, (31-47), Online publication date: 1-May-2016.
  806. Mirjalili S (2016). Dragonfly algorithm, Neural Computing and Applications, 27:4, (1053-1073), Online publication date: 1-May-2016.
  807. Kaveh A and Bakhshpoori T (2016). Water Evaporation Optimization, Computers and Structures, 167:C, (69-85), Online publication date: 15-Apr-2016.
  808. ACM
    Singh T, Verma S, Kulshrestha V and Katiyar S Intrusion Detection System Using Genetic Algorithm for Cloud Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies, (1-6)
  809. Kaveh A and Farhoudi N (2016). Dolphin monitoring for enhancing metaheuristic algorithms, Computers and Structures, 165:C, (1-9), Online publication date: 1-Mar-2016.
  810. El Akkad N, El Hazzat S, Saaidi A and Satori K (2016). Reconstruction of 3D Scenes by Camera Self-Calibration and Using Genetic Algorithms, 3D Research, 7:1, (1-17), Online publication date: 1-Mar-2016.
  811. Lin C, Liao H, Lin Y, Liu J and Huang Y (2016). An efficient tabu search for cell planning problem in mobile communication, Wireless Communications & Mobile Computing, 16:4, (486-496), Online publication date: 1-Mar-2016.
  812. Lopez-Garcia P, Onieva E, Osaba E, Masegosa A and Perallos A (2016). A Hybrid Method for Short-Term Traffic Congestion Forecasting Using Genetic Algorithms and Cross Entropy, IEEE Transactions on Intelligent Transportation Systems, 17:2, (557-569), Online publication date: 1-Feb-2016.
  813. Mirhassani S, Ting H and Gharahbagh A (2016). Fuzzy decision fusion of complementary experts based on evolutionary cepstral coefficients for phoneme recognition, Digital Signal Processing, 49:C, (116-125), Online publication date: 1-Feb-2016.
  814. Irshad M, Khalid S, Hussain M and Sarfraz M (2016). Outline capturing using rational functions with the help of genetic algorithm, Applied Mathematics and Computation, 274:C, (661-678), Online publication date: 1-Feb-2016.
  815. Li M, Zhao H, Weng X and Han T (2016). A novel nature-inspired algorithm for optimization, Advances in Engineering Software, 92:C, (65-88), Online publication date: 1-Feb-2016.
  816. Li J, Li Y and Pardalos P (2016). Multi-depot vehicle routing problem with time windows under shared depot resources, Journal of Combinatorial Optimization, 31:2, (515-532), Online publication date: 1-Feb-2016.
  817. Mirjalili S, Mirjalili S and Hatamlou A (2016). Multi-Verse Optimizer, Neural Computing and Applications, 27:2, (495-513), Online publication date: 1-Feb-2016.
  818. Pareek N and Patidar V (2016). Medical image protection using genetic algorithm operations, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 20:2, (763-772), Online publication date: 1-Feb-2016.
  819. ACM
    Filippone G, D’ambrosio D, Marocco D and Spataro W (2016). Morphological Coevolution for Fluid Dynamical-Related Risk Mitigation, ACM Transactions on Modeling and Computer Simulation, 26:3, (1-26), Online publication date: 29-Jan-2016.
  820. Catania C, Zanni-Merk C, Bertrand de Beuvron F and Collet P (2016). Ontologies to Lead Knowledge Intensive Evolutionary Algorithms, International Journal of Knowledge and Systems Science, 7:1, (78-100), Online publication date: 1-Jan-2016.
  821. Azizi N, Chauhan S, Salhi S and Vidyarthi N (2016). The impact of hub failure in hub-and-spoke networks, Computers and Operations Research, 65:C, (174-188), Online publication date: 1-Jan-2016.
  822. Costa A, Cappadonna F and Fichera S (2016). Minimizing the total completion time on a parallel machine system with tool changes, Computers and Industrial Engineering, 91:C, (290-301), Online publication date: 1-Jan-2016.
  823. Leyman P and Vanhoucke M (2016). Payment models and net present value optimization for resource-constrained project scheduling, Computers and Industrial Engineering, 91:C, (139-153), Online publication date: 1-Jan-2016.
  824. ACM
    Le H, Van Tran L, Nguyen X and Nguyen T Optimizing Genetic Algorithm in Feature Selection for Named Entity Recognition Proceedings of the 6th International Symposium on Information and Communication Technology, (11-16)
  825. Chen G, Douch C and Zhang M (2015). Using Learning Classifier Systems to Learn Stochastic Decision Policies, IEEE Transactions on Evolutionary Computation, 19:6, (885-902), Online publication date: 1-Dec-2015.
  826. Cussat-Blanc S, Harrington K and Pollack J (2015). Gene Regulatory Network Evolution Through Augmenting Topologies, IEEE Transactions on Evolutionary Computation, 19:6, (823-837), Online publication date: 1-Dec-2015.
  827. Liang X, Chen H and Lozano J (2015). A Boltzmann-Based Estimation of Distribution Algorithm for a General Resource Scheduling Model, IEEE Transactions on Evolutionary Computation, 19:6, (793-806), Online publication date: 1-Dec-2015.
  828. Zhang Y, Shi J, Zhang T, Liu X and Qian Z (2015). Modeling and checking for Cyber-Physical System based on hybrid interface automata, Pervasive and Mobile Computing, 24:C, (179-193), Online publication date: 1-Dec-2015.
  829. Sadeghi M, Jolai F, Tavakkoli-Moghaddam R and Rahimi Y (2015). A new stochastic approach for a reliable p-hub covering location problem, Computers and Industrial Engineering, 90:C, (371-380), Online publication date: 1-Dec-2015.
  830. Mohtashami A (2015). A novel dynamic genetic algorithm-based method for vehicle scheduling in cross docking systems with frequent unloading operation, Computers and Industrial Engineering, 90:C, (221-240), Online publication date: 1-Dec-2015.
  831. Garnier A, Eynard J, Caussanel M and Grieu S (2015). Predictive control of multizone heating, ventilation and air-conditioning systems in non-residential buildings, Applied Soft Computing, 37:C, (847-862), Online publication date: 1-Dec-2015.
  832. Pattanayak P and Kumar P (2015). A computationally efficient genetic algorithm for MIMO broadcast scheduling, Applied Soft Computing, 37:C, (545-553), Online publication date: 1-Dec-2015.
  833. Bekdaş G, Nigdeli S and Yang X (2015). Sizing optimization of truss structures using flower pollination algorithm, Applied Soft Computing, 37:C, (322-331), Online publication date: 1-Dec-2015.
  834. Liu J, Zhu H, Ma Q, Zhang L and Xu H (2015). An Artificial Bee Colony algorithm with guide of global & local optima and asynchronous scaling factors for numerical optimization, Applied Soft Computing, 37:C, (608-618), Online publication date: 1-Dec-2015.
  835. Ma L, Zhu Y, Liu Y, Tian L and Chen H (2015). A novel bionic algorithm inspired by plant root foraging behaviors, Applied Soft Computing, 37:C, (95-113), Online publication date: 1-Dec-2015.
  836. González M and Vela C (2015). An efficient memetic algorithm for total weighted tardiness minimization in a single machine with setups, Applied Soft Computing, 37:C, (506-518), Online publication date: 1-Dec-2015.
  837. Siar H, Kiani K and Chronopoulos A (2015). An effective game theoretic static load balancing applied to distributed computing, Cluster Computing, 18:4, (1609-1623), Online publication date: 1-Dec-2015.
  838. Zhang C, Lin Q, Gao L and Li X (2015). Backtracking Search Algorithm with three constraint handling methods for constrained optimization problems, Expert Systems with Applications: An International Journal, 42:21, (7831-7845), Online publication date: 30-Nov-2015.
  839. Chen G, Douch C, Zhang M and Pang S Reinforcement Learning in Continuous Spaces by Using Learning Fuzzy Classifier Systems Proceeings, Part II, of the 22nd International Conference on Neural Information Processing - Volume 9490, (320-328)
  840. An H, Shim H, Na S and Lee S (2015). Split and merge algorithm for deep learning and its application for additional classes, Pattern Recognition Letters, 65:C, (137-144), Online publication date: 1-Nov-2015.
  841. Tsai C, Tsai P, Pan J and Chao H (2015). Metaheuristics for the deployment problem of WSN, Microprocessors & Microsystems, 39:8, (1305-1317), Online publication date: 1-Nov-2015.
  842. Kiran M (2015). TSA, Expert Systems with Applications: An International Journal, 42:19, (6686-6698), Online publication date: 1-Nov-2015.
  843. ACM
    Menezes F, Blanco G, Rodriguez P and Pereira F Application of simulation and optimization for dynamic job shop scheduling under stochastic demand variability Proceedings of the 7th International Conference on Management of computational and collective intElligence in Digital EcoSystems, (188-192)
  844. ACM
    Aljafer H, Hashmi K, Malik Z and Erradi A Web service cost optimization Proceedings of the 7th International Conference on Management of computational and collective intElligence in Digital EcoSystems, (116-120)
  845. ACM
    Chen C and Chen C A Map-Reduce based Approach for Mining Group Stock Portfolio Proceedings of the ASE BigData & SocialInformatics 2015, (1-5)
  846. di Tollo G, Lardeux F, Maturana J and Saubion F (2015). An experimental study of adaptive control for evolutionary algorithms, Applied Soft Computing, 35:C, (359-372), Online publication date: 1-Oct-2015.
  847. Elyasigomari V, Mirjafari M, Screen H and Shaheed M (2015). Cancer classification using a novel gene selection approach by means of shuffling based on data clustering with optimization, Applied Soft Computing, 35:C, (43-51), Online publication date: 1-Oct-2015.
  848. ACM
    Shaw G and van der Poel E Genetic Algorithms as a feasible re-planning mechanism for Belief-Desire-Intention Agents Proceedings of the 2015 Annual Research Conference on South African Institute of Computer Scientists and Information Technologists, (1-9)
  849. ACM
    Retsi V, Leonti I, Korfiati A, Theofilatos K, Likothanassis S and Mavroudi S Predicting and classifying short non-coding RNAs using a multiclass evolutionary methodology Proceedings of the 16th International Conference on Engineering Applications of Neural Networks (INNS), (1-9)
  850. ACM
    Costa P, Ballani H, Razavi K and Kash I (2015). R2C2, ACM SIGCOMM Computer Communication Review, 45:4, (551-564), Online publication date: 22-Sep-2015.
  851. ACM
    Emary E, Zawbaa H, Ghany K, Hassanien A and Parv B Firefly Optimization Algorithm for Feature Selection Proceedings of the 7th Balkan Conference on Informatics Conference, (1-7)
  852. ACM
    Jin W and Orso A (2015). Automated Support for Reproducing and Debugging Field Failures, ACM Transactions on Software Engineering and Methodology, 24:4, (1-35), Online publication date: 2-Sep-2015.
  853. Kleftogiannis D, Theofilatos K, Likothanassis S and Mavroudi S (2015). YamiPred, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 12:5, (1183-1192), Online publication date: 1-Sep-2015.
  854. Snaselova P and Zboril F (2015). Genetic Algorithm using Theory of Chaos, Procedia Computer Science, 51:C, (316-325), Online publication date: 1-Sep-2015.
  855. elebi D (2015). Inventory control in a centralized distribution network using genetic algorithms, Computers and Industrial Engineering, 87:C, (532-539), Online publication date: 1-Sep-2015.
  856. Kuo R, Lee Y, Zulvia F and Tien F (2015). Solving bi-level linear programming problem through hybrid of immune genetic algorithm and particle swarm optimization algorithm, Applied Mathematics and Computation, 266:C, (1013-1026), Online publication date: 1-Sep-2015.
  857. Zhu L, Chen J and Kulkarni S Refinement of Probabilistic Stabilizing Programs Using Genetic Algorithms Proceedings of the 17th International Symposium on Stabilization, Safety, and Security of Distributed Systems - Volume 9212, (217-232)
  858. ACM
    Costa P, Ballani H, Razavi K and Kash I R2C2 Proceedings of the 2015 ACM Conference on Special Interest Group on Data Communication, (551-564)
  859. Ouyang H, Gao L, Kong X, Zou D and Li S (2015). Teaching-learning based optimization with global crossover for global optimization problems, Applied Mathematics and Computation, 265:C, (533-556), Online publication date: 15-Aug-2015.
  860. Alkindy B, Guyeux C, Couchot J, Salomon M, Parisod C and Bahi J Hybrid Genetic Algorithm and Lasso Test Approach for Inferring Well Supported Phylogenetic Trees Based on Subsets of Chloroplastic Core Genes Proceedings of the Second International Conference on Algorithms for Computational Biology - Volume 9199, (83-96)
  861. García-Domingo B, Carmona C, Rivera-Rivas A, del Jesus M and Aguilera J (2015). A differential evolution proposal for estimating the maximum power delivered by CPV modules under real outdoor conditions, Expert Systems with Applications: An International Journal, 42:13, (5452-5462), Online publication date: 1-Aug-2015.
  862. Nguyen K, Freytag B, Ralbovsky M and Rio O (2015). Assessment of serviceability limit state of vibrations in the UHPFRC-Wild bridge through an updated FEM using vehicle-bridge interaction, Computers and Structures, 156:C, (29-41), Online publication date: 1-Aug-2015.
  863. Reisi-Nafchi M and Moslehi G (2015). A hybrid genetic and linear programming algorithm for two-agent order acceptance and scheduling problem, Applied Soft Computing, 33:C, (37-47), Online publication date: 1-Aug-2015.
  864. Wang L, Yin Y and Zhong Y (2015). Cuckoo search with varied scaling factor, Frontiers of Computer Science: Selected Publications from Chinese Universities, 9:4, (623-635), Online publication date: 1-Aug-2015.
  865. ACM
    Mukhopadhyay A, Maulik U and Bandyopadhyay S (2015). A Survey of Multiobjective Evolutionary Clustering, ACM Computing Surveys, 47:4, (1-46), Online publication date: 21-Jul-2015.
  866. Rajabi-Bahaabadi M, Shariat-Mohaymany A, Babaei M and Ahn C (2015). Multi-objective path finding in stochastic time-dependent road networks using non-dominated sorting genetic algorithm, Expert Systems with Applications: An International Journal, 42:12, (5056-5064), Online publication date: 15-Jul-2015.
  867. Chisari C, Macorini L, Amadio C and Izzuddin B (2015). An inverse analysis procedure for material parameter identification of mortar joints in unreinforced masonry, Computers and Structures, 155:C, (97-105), Online publication date: 15-Jul-2015.
  868. ACM
    Shen D, Luo Q, Poshyvanyk D and Grechanik M Automating performance bottleneck detection using search-based application profiling Proceedings of the 2015 International Symposium on Software Testing and Analysis, (270-281)
  869. ACM
    Schulte E, Weimer W and Forrest S Repairing COTS Router Firmware without Access to Source Code or Test Suites Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation, (847-854)
  870. ACM
    Chebbi O and Chaouachi J Evolutionary Approach For Minimizing Consumed Energy In a Personal Rapid Transit Transportation System with a Multi-Depot Network Topology Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation, (751-752)
  871. ACM
    Watkins C and Buttkewitz Y Efficient Sampling with Small Populations Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation, (1517-1518)
  872. ACM
    Lehre P and Oliveto P Runtime Analysis of Evolutionary Algorithms Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation, (121-136)
  873. ACM
    Whitley D Mk Landscapes, NK Landscapes, MAX-kSAT Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, (927-934)
  874. ACM
    Hsu S and Yu T Optimization by Pairwise Linkage Detection, Incremental Linkage Set, and Restricted / Back Mixing Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, (519-526)
  875. ACM
    Ge Y, Gong Y, Yu W, Hu X and Zhang J Reconstructing Cross-Cut Shredded Text Documents Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, (847-853)
  876. ACM
    Liu X, Zhan Z and Zhang J Dichotomy Guided Based Parameter Adaptation for Differential Evolution Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, (289-296)
  877. ACM
    Nouri N and Ladhari T Minimizing Regular Objectives for Blocking Permutation Flow Shop Scheduling Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation, (441-448)
  878. García-Hernández L, Palomo-Romero J, Salas-Morera L, Arauzo-Azofra A and Pierreval H (2015). A novel hybrid evolutionary approach for capturing decision maker knowledge into the unequal area facility layout problem, Expert Systems with Applications: An International Journal, 42:10, (4697-4708), Online publication date: 15-Jun-2015.
  879. Lin X, Wang X, Xiao N, Huang X and Wang J A Feature Selection Method Based on Feature Grouping and Genetic Algorithm Revised Selected Papers, Part II, of the 5th International Conference on Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques - Volume 9243, (150-158)
  880. Kaveh A and Ilchi Ghazaan M (2015). A comparative study of CBO and ECBO for optimal design of skeletal structures, Computers and Structures, 153:C, (137-147), Online publication date: 1-Jun-2015.
  881. Gutiérrez-Urquídez R, Valencia-Palomo G, Rodríguez-Elias O and Trujillo L (2015). Systematic selection of tuning parameters for efficient predictive controllers using a multiobjective evolutionary algorithm, Applied Soft Computing, 31:C, (326-338), Online publication date: 1-Jun-2015.
  882. Andreica A and Chira C (2015). Best-order crossover for permutation-based evolutionary algorithms, Applied Intelligence, 42:4, (751-776), Online publication date: 1-Jun-2015.
  883. Paixao M and Souza J (2015). A robust optimization approach to the next release problem in the presence of uncertainties, Journal of Systems and Software, 103:C, (281-295), Online publication date: 1-May-2015.
  884. Yu J and Li V (2015). A social spider algorithm for global optimization, Applied Soft Computing, 30:C, (614-627), Online publication date: 1-May-2015.
  885. Sadollah A, Eskandar H, Bahreininejad A and Kim J (2015). Water cycle algorithm with evaporation rate for solving constrained and unconstrained optimization problems, Applied Soft Computing, 30:C, (58-71), Online publication date: 1-May-2015.
  886. Dokeroglu T, Bayir M and Cosar A (2015). Robust heuristic algorithms for exploiting the common tasks of relational cloud database queries, Applied Soft Computing, 30:C, (72-82), Online publication date: 1-May-2015.
  887. Mirjalili S (2015). The Ant Lion Optimizer, Advances in Engineering Software, 83:C, (80-98), Online publication date: 1-May-2015.
  888. Kaveh A and Mahdavi V (2015). Two-dimensional colliding bodies algorithm for optimal design of truss structures, Advances in Engineering Software, 83:C, (70-79), Online publication date: 1-May-2015.
  889. Monghasemi S, Nikoo M, Khaksar Fasaee M and Adamowski J (2015). A novel multi criteria decision making model for optimizing time-cost-quality trade-off problems in construction projects, Expert Systems with Applications: An International Journal, 42:6, (3089-3104), Online publication date: 15-Apr-2015.
  890. Preen R and Bull L (2015). Toward the Coevolution of Novel Vertical-Axis Wind Turbines, IEEE Transactions on Evolutionary Computation, 19:2, (284-294), Online publication date: 1-Apr-2015.
  891. Aish F, Joyce S, Malek S and Williams C (2015). The use of a particle method for the modelling of isotropic membrane stress for the form finding of shell structures, Computer-Aided Design, 61:C, (24-31), Online publication date: 1-Apr-2015.
  892. Liu N, Plets D, Goudos S, Martens L and Joseph W (2015). Multi-objective network planning optimization algorithm, Wireless Networks, 21:3, (841-857), Online publication date: 1-Apr-2015.
  893. Jiang Y and Chen W (2015). Task scheduling for grid computing systems using a genetic algorithm, The Journal of Supercomputing, 71:4, (1357-1377), Online publication date: 1-Apr-2015.
  894. Alexandre E, Cuadra L, Salcedo-Sanz S, Pastor-Sánchez A and Casanova-Mateo C (2015). Hybridizing Extreme Learning Machines and Genetic Algorithms to select acoustic features in vehicle classification applications, Neurocomputing, 152:C, (58-68), Online publication date: 25-Mar-2015.
  895. Franz W, Thulasiraman P and Thulasiram R (2015). Exploration/exploitation of a hybrid-enhanced MPSO-GA algorithm on a fused CPU-GPU architecture, Concurrency and Computation: Practice & Experience, 27:4, (973-993), Online publication date: 25-Mar-2015.
  896. Merras M, Akkad N, Saaidi A, Nazih A and Satori K (2015). Camera Self Calibration with Varying Parameters by an Unknown Three Dimensional Scene Using the Improved Genetic Algorithm, 3D Research, 6:1, (1-14), Online publication date: 1-Mar-2015.
  897. Alkaya A and Algin R (2015). Metaheuristic based solution approaches for the obstacle neutralization problem, Expert Systems with Applications: An International Journal, 42:3, (1094-1105), Online publication date: 15-Feb-2015.
  898. Tersi L, Fantozzi S and Stagni R (2015). Characterization of the Performance of Memetic Algorithms for the Automation of Bone Tracking With Fluoroscopy, IEEE Transactions on Evolutionary Computation, 19:1, (19-30), Online publication date: 1-Feb-2015.
  899. Zineddine M (2015). Vulnerabilities and mitigation techniques toning in the cloud, Computers and Security, 48:C, (1-18), Online publication date: 1-Feb-2015.
  900. Zheng Y, Chen S and Ling H (2015). Evolutionary optimization for disaster relief operations, Applied Soft Computing, 27:C, (553-566), Online publication date: 1-Feb-2015.
  901. Huang C, Lin K, Wu M, Hung K, Liu G and Jen C (2015). Intuitionistic fuzzy $$c$$c-means clustering algorithm with neighborhood attraction in segmenting medical image, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 19:2, (459-470), Online publication date: 1-Feb-2015.
  902. ACM
    Ribeiro M, Ziviani N, Moura E, Hata I, Lacerda A and Veloso A (2014). Multiobjective Pareto-Efficient Approaches for Recommender Systems, ACM Transactions on Intelligent Systems and Technology, 5:4, (1-20), Online publication date: 23-Jan-2015.
  903. ACM
    Burjorjee K Hypomixability Elimination In Evolutionary Systems Proceedings of the 2015 ACM Conference on Foundations of Genetic Algorithms XIII, (163-175)
  904. ACM
    Nechunaeva K and Migov D Speeding up of genetic algorithm for network topology optimization with use of cumulative updating of network reliability Proceedings of the 9th International Conference on Ubiquitous Information Management and Communication, (1-4)
  905. Al Asmar J, Kouta R, Laghrouche S, El Assad J and Wack M (2015). Best Suitable Cogeneration Power for Factories from Multi-Objective Data Analysis, Cybernetics and Information Technologies, 14:4, (109-120), Online publication date: 1-Jan-2015.
  906. Abiyev R and Tunay M (2015). Optimization of high-dimensional functions through hypercube evaluation, Computational Intelligence and Neuroscience, 2015, (17-17), Online publication date: 1-Jan-2015.
  907. Huang C, Hsu C, Chen C, Chang B and Li C (2015). An intelligent model for pairs trading using genetic algorithms, Computational Intelligence and Neuroscience, 2015, (16-16), Online publication date: 1-Jan-2015.
  908. Ahmad I (2015). Feature selection using particle swarm optimization in intrusion detection, International Journal of Distributed Sensor Networks, 2015, (9-9), Online publication date: 1-Jan-2015.
  909. Vijendra S and Laxman S (2015). Symmetry based automatic evolution of clusters, Computational Intelligence and Neuroscience, 2015, (13-13), Online publication date: 1-Jan-2015.
  910. Lee S (2015). Coevolution of artificial agents using evolutionary computation in bargaining game, Advances in Multimedia, 2015, (5-5), Online publication date: 1-Jan-2015.
  911. Lin K, Huang Y, Hung J and Lin Y (2015). Feature selection and parameter optimization of support vector machines based on modified cat swarm optimization, International Journal of Distributed Sensor Networks, 2015, (3-3), Online publication date: 1-Jan-2015.
  912. Bohre A, Agnihotri G, Dubey M and Kalambe S (2016). Impacts of the load models on optimal planning of distributed generation in distribution system, Advances in Artificial Intelligence, 2015, (6-6), Online publication date: 1-Jan-2015.
  913. Albarado K, Ledlow T and Hartfield R (2015). Alternative Analysis Networking: A Multicharacterization Algorithm, Computing in Science and Engineering, 17:1, (54-63), Online publication date: 1-Jan-2015.
  914. Schmidhuber J (2015). Deep learning in neural networks, Neural Networks, 61:C, (85-117), Online publication date: 1-Jan-2015.
  915. Chen C, Liu T, Chou J, Tasi C and Wang H (2015). Optimization of teacher volunteer transferring problems using greedy genetic algorithms, Expert Systems with Applications: An International Journal, 42:1, (668-678), Online publication date: 1-Jan-2015.
  916. Jula A, Othman Z and Sundararajan E (2015). Imperialist competitive algorithm with PROCLUS classifier for service time optimization in cloud computing service composition, Expert Systems with Applications: An International Journal, 42:1, (135-145), Online publication date: 1-Jan-2015.
  917. Sels V, Coelho J, Manuel Dias A and Vanhoucke M (2015). Hybrid tabu search and a truncated branch-and-bound for the unrelated parallel machine scheduling problem, Computers and Operations Research, 53:C, (107-117), Online publication date: 1-Jan-2015.
  918. Bhateja A, Bhateja A, Chaudhury S and Saxena P (2015). Cryptanalysis of Vigenere cipher using Cuckoo Search, Applied Soft Computing, 26:C, (315-324), Online publication date: 1-Jan-2015.
  919. Nadimpalli V, Wankar R and Chillarige R "Potential Interval of Root" of Nonlinear Equation Proceedings of the 8th International Workshop on Multi-disciplinary Trends in Artificial Intelligence - Volume 8875, (1-12)
  920. Samal N and Pratihar D (2014). Optimization of variable demand fuzzy economic order quantity inventory models without and with backordering, Computers and Industrial Engineering, 78:C, (148-162), Online publication date: 1-Dec-2014.
  921. Zou J, Gundry S, Kusyk J, Sahin C and Uyar M Bio-inspired and voronoi-based algorithms for self-positioning of autonomous vehicles in noisy environments Proceedings of the 8th International Conference on Bioinspired Information and Communications Technologies, (17-22)
  922. Carrizosa E, Jocković J and Ramírez-Cobo P (2014). A global optimisation approach for parameter estimation of a mixture of double Pareto lognormal and lognormal distributions, Computers and Operations Research, 52:PB, (231-240), Online publication date: 1-Dec-2014.
  923. Dorn M, e Silva M, Buriol L and Lamb L (2014). Three-dimensional protein structure prediction, Computational Biology and Chemistry, 53:PB, (251-276), Online publication date: 1-Dec-2014.
  924. Badoni R, Gupta D and Mishra P (2014). A new hybrid algorithm for university course timetabling problem using events based on groupings of students, Computers and Industrial Engineering, 78:C, (12-25), Online publication date: 1-Dec-2014.
  925. Menai M (2014). Word sense disambiguation using evolutionary algorithms - Application to Arabic language, Computers in Human Behavior, 41:C, (92-103), Online publication date: 1-Dec-2014.
  926. Hajiaghaei-Keshteli M and Aminnayeri M (2014). Solving the integrated scheduling of production and rail transportation problem by Keshtel algorithm, Applied Soft Computing, 25:C, (184-203), Online publication date: 1-Dec-2014.
  927. Pérez-Godoy M, Rivera A, Carmona C and del Jesus M (2014). Training algorithms for Radial Basis Function Networks to tackle learning processes with imbalanced data-sets, Applied Soft Computing, 25:C, (26-39), Online publication date: 1-Dec-2014.
  928. Valencia P, Haak A, Cotillon A and Jurdak R (2014). Genetic programming for smart phone personalisation, Applied Soft Computing, 25:C, (86-96), Online publication date: 1-Dec-2014.
  929. Rahmani R and Yusof R (2014). A new simple, fast and efficient algorithm for global optimization over continuous search-space problems, Applied Mathematics and Computation, 248:C, (287-300), Online publication date: 1-Dec-2014.
  930. Yang F and Yue Z (2014). Kernel density estimation of three-parameter Weibull distribution with neural network and genetic algorithm, Applied Mathematics and Computation, 247:C, (803-814), Online publication date: 15-Nov-2014.
  931. Huang X and Zhao T (2014). Project selection and scheduling with uncertain net income and investment cost, Applied Mathematics and Computation, 247:C, (61-71), Online publication date: 15-Nov-2014.
  932. ACM
    Singh V and Mishra V Distributed Query Plan generation using Aggregation based Multi-Objective Genetic Algorithm Proceedings of the 2014 International Conference on Information and Communication Technology for Competitive Strategies, (1-8)
  933. Nguyen D, Ngo L and Watada J (2014). A genetic type-2 fuzzy C-means clustering approach to M-FISH segmentation, Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, 27:6, (3111-3122), Online publication date: 1-Nov-2014.
  934. Pandey H, Chaudhary A and Mehrotra D (2014). A comparative review of approaches to prevent premature convergence in GA, Applied Soft Computing, 24:C, (1047-1077), Online publication date: 1-Nov-2014.
  935. Pehlivanoglu Y (2014). Direct and indirect design prediction in genetic algorithm for inverse design problems, Applied Soft Computing, 24:C, (781-793), Online publication date: 1-Nov-2014.
  936. Tsai C, Lai C and Vasilakos A (2014). Future Internet of Things, Wireless Networks, 20:8, (2201-2217), Online publication date: 1-Nov-2014.
  937. Zheng Y, Ling H, Wu X and Xue J (2014). Localized biogeography-based optimization, Soft Computing - A Fusion of Foundations, Methodologies and Applications, 18:11, (2323-2334), Online publication date: 1-Nov-2014.
  938. Potuzak T Parallelization Possibilities of a Genetic Algorithm for Road Traffic Network Division for Distributed/Parallel Environment Proceedings of the 2014 IEEE/ACM 18th International Symposium on Distributed Simulation and Real Time Applications, (211-218)
  939. Romano M and Kapelan Z (2014). Adaptive water demand forecasting for near real-time management of smart water distribution systems, Environmental Modelling & Software, 60:C, (265-276), Online publication date: 1-Oct-2014.
  940. Guchhait P, Maiti M and Maiti M (2014). Inventory policy of a deteriorating item with variable demand under trade credit period, Computers and Industrial Engineering, 76:C, (75-88), Online publication date: 1-Oct-2014.
  941. López García M, García-Ródenas R and Gómez A (2014). Hybrid meta-heuristic optimization algorithms for time-domain-constrained data clustering, Applied Soft Computing, 23, (319-332), Online publication date: 1-Oct-2014.
  942. Zaniewski K and Pedrycz W (2014). A hybrid optimization approach to conformance testing of finite automata, Applied Soft Computing, 23, (91-103), Online publication date: 1-Oct-2014.
  943. Xu P, Su X, Mahadevan S, Li C and Deng Y (2014). A non-parametric method to determine basic probability assignment for classification problems, Applied Intelligence, 41:3, (681-693), Online publication date: 1-Oct-2014.
  944. Wong W, Deng Q, Tseng M, Lee L and Hooy C (2014). A STOCHASTIC SETTING TO BANK FINANCIAL PERFORMANCE FOR REFINING EFFICIENCY ESTIMATES, International Journal of Intelligent Systems in Accounting and Finance Management, 21:4, (225-245), Online publication date: 1-Oct-2014.
  945. Estero-Botaro A, García-Domínguez A, Domínguez-Jiménez J, Palomo-Lozano F and Medina-Bulo I A Framework for Genetic Test-Case Generation for WS-BPEL Compositions Proceedings of the 26th IFIP WG 6.1 International Conference on Testing Software and Systems - Volume 8763, (1-16)
  946. ACM
    Olaechea R, Rayside D, Guo J and Czarnecki K Comparison of exact and approximate multi-objective optimization for software product lines Proceedings of the 18th International Software Product Line Conference - Volume 1, (92-101)
  947. Mishra K, Tiwari S and Misra A (2014). Improved environmental adaption method and its application in test case generation, Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, 27:5, (2305-2317), Online publication date: 1-Sep-2014.
  948. Ge D, Yao X, Hu C and Lian Z (2014). Nonlinear camera model calibrated by neural network and adaptive genetic-annealing algorithm, Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, 27:5, (2243-2255), Online publication date: 1-Sep-2014.
  949. Martins J and Delbem A (2014). Efficiency enhancement of estimation of distribution algorithms by a compressed tournament selection, Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, 26:5, (2537-2545), Online publication date: 1-Sep-2014.
  950. ACM
    Honda K, Ines A, Yui A, Witayangkurn A, Chinnachodteeranun R and Teeravech K Agriculture Information Service Built on Geospatial Data Infrastructure and Crop Modeling Proceedings of the 2014 International Workshop on Web Intelligence and Smart Sensing, (1-9)
  951. Ren J, Nickerson J, Mason W, Sakamoto Y and Graber B (2014). Increasing the crowd's capacity to create, Decision Support Systems, 65:C, (28-39), Online publication date: 1-Sep-2014.
  952. ACM
    Fritzsche A Cross-fertilization vs. Collaboration in Simulations of Open Innovation Proceedings of The International Symposium on Open Collaboration, (1-6)
  953. Carvalho J, Prado A and Plastino A A Statistical and Evolutionary Approach to Sentiment Analysis Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) - Volume 02, (110-117)
  954. ACM
    Thompson R and Mukhopadhyay T Aesthetics of biocybernetic designs ACM SIGGRAPH 2014 Art Gallery, (318-324)
  955. ACM
    Suresh Y and Rath S (2014). Evolutionary algorithms for object-oriented test data generation, ACM SIGSOFT Software Engineering Notes, 39:4, (1-6), Online publication date: 5-Aug-2014.
  956. Grove M (2014). Evolution and dispersal under climatic instability, Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems, 22:4, (235-254), Online publication date: 1-Aug-2014.
  957. Müller J, Shoemaker C and Piché R (2014). SO-I, Journal of Global Optimization, 59:4, (865-889), Online publication date: 1-Aug-2014.
  958. ACM
    Brady A, Lawrence J, Peers P and Weimer W (2014). genBRDF, ACM Transactions on Graphics, 33:4, (1-11), Online publication date: 27-Jul-2014.
  959. ACM
    Jauhri A, Lohn J and Linden D A comparison of antenna placement algorithms Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation, (1223-1230)
  960. ACM
    Lehre P and Oliveto P Runtime analysis of evolutionary algorithms Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation, (459-486)
  961. ACM
    Lanzi P Learning classifier systems Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation, (407-430)
  962. ACM
    Osaba E, Diaz F, Carballedo R, Onieva E and Lopez P A study on the impact of heuristic initialization functions in a genetic algorithm solving the N-queens problem Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation, (1473-1474)
  963. ACM
    Osaba E, Diaz F, Carballedo R, de la Iglesia I, Onieva E and Perallos A A study on the efficiency of neutral crossover operators in genetic algorithms applied to the bin packing problem Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation, (1471-1472)
  964. ACM
    Zahadat P and Schmickl T Wolfpack-inspired evolutionary algorithm and a reaction-diffusion-based controller are used for pattern formation Proceedings of the 2014 Annual Conference on Genetic and Evolutionary Computation, (241-248)
  965. ACM
    Mayer B and Hamacher K Stochastic tunneling transformation during selection in genetic algorithm Proceedings of the 2014 Annual Conference on Genetic and Evolutionary Computation, (801-806)
  966. ACM
    Li C, Zhang Y, Jiao M and Yu G Mux-Kmeans Proceedings of the 5th ACM workshop on Scientific cloud computing, (25-32)
  967. ACM
    Magnaudet M and Chatty S What should adaptivity mean to interactive software programmers? Proceedings of the 2014 ACM SIGCHI symposium on Engineering interactive computing systems, (13-22)
  968. ACM
    Fredericks E, DeVries B and Cheng B Towards run-time adaptation of test cases for self-adaptive systems in the face of uncertainty Proceedings of the 9th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, (17-26)
  969. Holmes J (2014). Methods and applications of evolutionary computation in biomedicine, Journal of Biomedical Informatics, 49:C, (11-15), Online publication date: 1-Jun-2014.
  970. (2014). Solving the balance problem of massively multiplayer online role-playing games using coevolutionary programming, Applied Soft Computing, 18:C, (1-11), Online publication date: 1-May-2014.
  971. Yeguas E, Luzón M, Pavón R, Laza R, Arroyo G and Díaz F (2014). Automatic parameter tuning for Evolutionary Algorithms using a Bayesian Case-Based Reasoning system, Applied Soft Computing, 18:C, (185-195), Online publication date: 1-May-2014.
  972. Lv N, Huang Y, Feng Z and Peng J (2014). A genetic algorithm approach to human motion capture data segmentation, Computer Animation and Virtual Worlds, 25:3-4, (283-292), Online publication date: 1-May-2014.
  973. Winterrose M and Carter K Strategic evolution of adversaries against temporal platform diversity active cyber defenses Proceedings of the 2014 Symposium on Agent Directed Simulation, (1-9)
  974. Poggi B, Santucci J and Antoine-Santoni T Optimization based on dynamic and hybrid metaheuristics via DEVS simulation Proceedings of the Symposium on Theory of Modeling & Simulation - DEVS Integrative, (1-9)
  975. Wang S, Zheng Z, Wu Z, Sun Q, Zou H and Yang F (2014). Context-aware mobile service adaptation via a Co-evolution eXtended Classifier System in mobile network environments, Mobile Information Systems, 10:2, (197-215), Online publication date: 1-Apr-2014.
  976. Biswas S, Das S, Debchoudhury S and Kundu S (2014). Co-evolving bee colonies by forager migration, Applied Mathematics and Computation, 232:C, (216-234), Online publication date: 1-Apr-2014.
  977. Takako S, Takemura Y and Schmitt L Minimizing Wind Resistance of Vehicles with a Parallel Genetic Algorithm Proceedings of the 9th International Workshop on Databases in Networked Information Systems - Volume 8381, (214-231)
  978. Chen L (2014). Application of SVR with chaotic GASA algorithm to forecast Taiwanese 3G mobile phone demand, Neurocomputing, 127:C, (206-213), Online publication date: 15-Mar-2014.
  979. Donis-Díaz C, Muro A, Bello-Pérez R and Morales E (2014). A hybrid model of genetic algorithm with local search to discover linguistic data summaries from creep data, Expert Systems with Applications: An International Journal, 41:4, (2035-2042), Online publication date: 1-Mar-2014.
  980. Zhao X, Lin W and Zhang Q (2014). Enhanced particle swarm optimization based on principal component analysis and line search, Applied Mathematics and Computation, 229:C, (440-456), Online publication date: 25-Feb-2014.
  981. Papakostas G, Tsougenis E and Koulouriotis D (2014). Moment-based local image watermarking via genetic optimization, Applied Mathematics and Computation, 227:C, (222-236), Online publication date: 15-Jan-2014.
  982. Rasekh A and Brumbelow K (2014). Drinking water distribution systems contamination management to reduce public health impacts and system service interruptions, Environmental Modelling & Software, 51:C, (12-25), Online publication date: 1-Jan-2014.
  983. Khan I (2015). A comparative study of EAG and PBIL on large-scale global optimization problems, Applied Computational Intelligence and Soft Computing, 2014, (19-19), Online publication date: 1-Jan-2014.
  984. Rajput P, Nagpal G and Aarti   (2014). Feature weighted unsupervised classification algorithm and adaptation for software cost estimation, International Journal of Computational Intelligence Studies, 3:1, (74-93), Online publication date: 1-Jan-2014.
  985. Biswas A and Majumder D (2014). Genetic algorithm based hybrid fuzzy system for assessing morningness, Advances in Fuzzy Systems, 2014, (8-8), Online publication date: 1-Jan-2014.
  986. Sigari M, Pourshahabi M and Pourreza H (2014). A new evolutionary-incremental framework for feature selection, Advances in Artificial Intelligence, 2014, (7-7), Online publication date: 1-Jan-2014.
  987. Roseiro L, Neto M, Amaro A, Leal R and Samarra M (2014). External fixator configurations in tibia fractures, Computer Methods and Programs in Biomedicine, 113:1, (360-370), Online publication date: 1-Jan-2014.
  988. Zhou X, Yang C and Gui W (2014). Nonlinear system identification and control using state transition algorithm, Applied Mathematics and Computation, 226, (169-179), Online publication date: 1-Jan-2014.
  989. Tracy W (2014). Paradox Lost, Computational Economics, 43:1, (83-103), Online publication date: 1-Jan-2014.
  990. Rudenko O and Bezsonov O (2014). Robust Neuroevolutionary Identification of Nonlinear Nonstationary Objects, Cybernetics and Systems Analysis, 50:1, (17-30), Online publication date: 1-Jan-2014.
  991. Vaisakh K, Praveena P and Sujatah K Differential Evolution and Bacterial Foraging Optimization Based Dynamic Economic Dispatch with Non-smooth Fuel Cost Functions Proceedings of the 4th International Conference on Swarm, Evolutionary, and Memetic Computing - Volume 8298, (583-594)
  992. ACM
    Le H and Van Tran L Automatic feature selection for named entity recognition using genetic algorithm Proceedings of the 4th Symposium on Information and Communication Technology, (81-87)
  993. Carmona C, González P, García-Domingo B, del Jesus M and Aguilera J (2013). MEFES, Knowledge-Based Systems, 54:C, (73-85), Online publication date: 1-Dec-2013.
  994. WăźGrzyn D and Alexandre L A Genetic Algorithm-Evolved 3D Point Cloud Descriptor Proceedings, Part I, of the 18th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - Volume 8258, (92-99)
  995. ACM
    Assis C, Pereira A, Pereira M and Carrano E Using genetic programming to detect fraud in electronic transactions Proceedings of the 19th Brazilian symposium on Multimedia and the web, (337-340)
  996. Castelli M, Beretta S and Vanneschi L (2013). A hybrid genetic algorithm for the repetition free longest common subsequence problem, Operations Research Letters, 41:6, (644-649), Online publication date: 1-Nov-2013.
  997. Vanaret C, Gotteland J, Durand N and Alliot J Preventing Premature Convergence and Proving the Optimality in Evolutionary Algorithms Artificial Evolution, (29-40)
  998. Wang F and Zhu Z Global Path Planning of Wheeled Robots Using a Multi-Objective Memetic Algorithm Proceedings of the 14th International Conference on Intelligent Data Engineering and Automated Learning --- IDEAL 2013 - Volume 8206, (437-444)
  999. Müller J, Kanniainen J and Piché R (2013). Calibration of GARCH models using concurrent accelerated random search, Applied Mathematics and Computation, 221:C, (522-534), Online publication date: 15-Sep-2013.
  1000. Trajkovski I Parallel Genetic Algorithm for Creation of Sort Algorithms Proceedings of the 5th International Conference on Computational Collective Intelligence. Technologies and Applications - Volume 8083, (367-376)
  1001. Fredericks E, Ramirez A and Cheng B Validating Code-Level Behavior of Dynamic Adaptive Systems in the Face of Uncertainty Proceedings of the 5th International Symposium on Search Based Software Engineering - Volume 8084, (81-95)
  1002. Liu C, Zhou A and Zhang G (2013). Automatic clustering method based on evolutionary optimisation, IET Computer Vision, 7:4, (258-271), Online publication date: 1-Aug-2013.
  1003. ACM
    Kifetew F, Panichella A, De Lucia A, Oliveto R and Tonella P Orthogonal exploration of the search space in evolutionary test case generation Proceedings of the 2013 International Symposium on Software Testing and Analysis, (257-267)
  1004. ACM
    Akhtar J, Awais M and Koshul B An evolutionary algorithm derived from Charles Sanders Peirce's theory of universal evolution Proceedings of the 15th annual conference companion on Genetic and evolutionary computation, (1643-1646)
  1005. ACM
    Ogur E and Aydin M Refining scheduling policies with genetic algorithms Proceedings of the 15th annual conference companion on Genetic and evolutionary computation, (1513-1518)
  1006. ACM
    Lehre P and Oliveto P Runtime analysis of evolutionary algorithms Proceedings of the 15th annual conference companion on Genetic and evolutionary computation, (469-498)
  1007. ACM
    Fredericks E and Cheng B Exploring automated software composition with genetic programming Proceedings of the 15th annual conference companion on Genetic and evolutionary computation, (1733-1734)
  1008. ACM
    Kovacs T and Tindale R Analysis of the niche genetic algorithm in learning classifier systems Proceedings of the 15th annual conference on Genetic and evolutionary computation, (1069-1076)
  1009. ACM
    Shao C and Yu T Speeding up model building for ECGA on CUDA platform Proceedings of the 15th annual conference on Genetic and evolutionary computation, (1197-1204)
  1010. ACM
    Martins J and Delbem A The influence of linkage-learning in the linkage-tree GA when solving multidimensional knapsack problems Proceedings of the 15th annual conference on Genetic and evolutionary computation, (821-828)
  1011. ACM
    Hains D, Whitley D, Howe A and Chen W Hyperplane initialized local search for MAXSAT Proceedings of the 15th annual conference on Genetic and evolutionary computation, (805-812)
  1012. LarrañAga P, Karshenas H, Bielza C and Santana R (2013). A review on evolutionary algorithms in Bayesian network learning and inference tasks, Information Sciences: an International Journal, 233, (109-125), Online publication date: 1-Jun-2013.
  1013. Castellanos-GarzóN J and DíAz F (2013). An evolutionary computational model applied to cluster analysis of DNA microarray data, Expert Systems with Applications: An International Journal, 40:7, (2575-2591), Online publication date: 1-Jun-2013.
  1014. Luo J, Wang Q and Xiao X (2013). A modified artificial bee colony algorithm based on converge-onlookers approach for global optimization, Applied Mathematics and Computation, 219:20, (10253-10262), Online publication date: 1-Jun-2013.
  1015. ACM
    Xiao J, Osterweil L, Chen J, Wang Q and Li M Search based risk mitigation planning in project portfolio management Proceedings of the 2013 International Conference on Software and System Process, (146-155)
  1016. Wu A, Wiegand R and Pradhan R Using response probability to build system redundancy in multiagent systems Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems, (1343-1344)
  1017. Varnamkhasti M (2013). A hybrid of adaptive neuro-fuzzy inference system and genetic algorithm, Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, 25:3, (793-796), Online publication date: 1-May-2013.
  1018. Nurwaha D and Wang X (2013). Optimization of electrospinning process using intelligent control systems, Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, 24:3, (593-600), Online publication date: 1-May-2013.
  1019. Roy S and Pratihar D (2013). Adaptive neuro-fuzzy expert systems for predicting specific energy consumption and energy stability margin in crab walking of six-legged robots, Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, 24:3, (467-482), Online publication date: 1-May-2013.
  1020. Duéñez-Guzmán E and Vose M (2013). No free lunch and benchmarks, Evolutionary Computation, 21:2, (293-312), Online publication date: 1-May-2013.
  1021. Hadka D and Reed P (2013). Borg, Evolutionary Computation, 21:2, (231-259), Online publication date: 1-May-2013.
  1022. Siva Sathya S and Radhika M (2013). Convergence of nomadic genetic algorithm on benchmark mathematical functions, Applied Soft Computing, 13:5, (2759-2766), Online publication date: 1-May-2013.
  1023. ACM
    Schulte E, DiLorenzo J, Weimer W and Forrest S (2013). Automated repair of binary and assembly programs for cooperating embedded devices, ACM SIGPLAN Notices, 48:4, (317-328), Online publication date: 23-Apr-2013.
  1024. Garcia-Hernandez L, Pierreval H, Salas-Morera L and Arauzo-Azofra A (2013). Handling qualitative aspects in Unequal Area Facility Layout Problem, Applied Soft Computing, 13:4, (1718-1727), Online publication date: 1-Apr-2013.
  1025. CaamañO P, Bellas F, Becerra J and Duro R (2013). Evolutionary algorithm characterization in real parameter optimization problems, Applied Soft Computing, 13:4, (1902-1921), Online publication date: 1-Apr-2013.
  1026. ACM
    Schulte E, DiLorenzo J, Weimer W and Forrest S (2013). Automated repair of binary and assembly programs for cooperating embedded devices, ACM SIGARCH Computer Architecture News, 41:1, (317-328), Online publication date: 29-Mar-2013.
  1027. ACM
    Gaudesi M, Marion A, Musner T, Squillero G and Tonda A Evolutionary optimization of wetlands design Proceedings of the 28th Annual ACM Symposium on Applied Computing, (176-181)
  1028. ACM
    Schulte E, DiLorenzo J, Weimer W and Forrest S Automated repair of binary and assembly programs for cooperating embedded devices Proceedings of the eighteenth international conference on Architectural support for programming languages and operating systems, (317-328)
  1029. Bianco S and Citrolo A High Contrast Color Sets under Multiple Illuminants Proceedings of the 4th International Workshop on Computational Color Imaging - Volume 7786, (133-142)
  1030. Yang C, Lin Y, Chaung L and Chang H (2013). Evaluation of Breast Cancer Susceptibility Using Improved Genetic Algorithms to Generate Genotype SNP Barcodes, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 10:2, (361-371), Online publication date: 1-Mar-2013.
  1031. Bayrak A and Polat F (2013). Employment of an evolutionary heuristic to solve the target allocation problem efficiently, Information Sciences: an International Journal, 222, (675-695), Online publication date: 1-Feb-2013.
  1032. ACM
    Burjorjee K Explaining optimization in genetic algorithms with uniform crossover Proceedings of the twelfth workshop on Foundations of genetic algorithms XII, (37-50)
  1033. Hung P, Lin S and Hsu Y (2013). Using multiple-strategy evolutionary neural fuzzy network to automatically identify disorientation problems, Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology, 25:1, (129-143), Online publication date: 1-Jan-2013.
  1034. Gonsalves T and Egashira A (2013). Parallel swarms oriented particle swarm optimization, Applied Computational Intelligence and Soft Computing, 2013, (14-14), Online publication date: 1-Jan-2013.
  1035. Skinner B, Yuan S, Huang S, Liu D, Cai B, Dissanayake G, Lau H, Bott A and Pagac D (2013). Optimisation for job scheduling at automated container terminals using genetic algorithm, Computers and Industrial Engineering, 64:1, (511-523), Online publication date: 1-Jan-2013.
  1036. Maldonado Y, Castillo O and Melin P (2013). Particle swarm optimization of interval type-2 fuzzy systems for FPGA applications, Applied Soft Computing, 13:1, (496-508), Online publication date: 1-Jan-2013.
  1037. Ganguly S, Mukherjee S, Basu D and Das S A Novel Strategy Adaptive Genetic Algorithm with Greedy Local Search for the Permutation Flowshop Scheduling Problem Swarm, Evolutionary, and Memetic Computing, (687-696)
  1038. ACM
    Trescak T, Bogdanovych A, Simoff S and Rodriguez I Generating diverse ethnic groups with genetic algorithms Proceedings of the 18th ACM symposium on Virtual reality software and technology, (1-8)
  1039. ACM
    French R (2012). Moving beyond the Turing test, Communications of the ACM, 55:12, (74-77), Online publication date: 1-Dec-2012.
  1040. Xie F and Jia R (2012). Nonlinear fixed charge transportation problem by minimum cost flow-based genetic algorithm, Computers and Industrial Engineering, 63:4, (763-778), Online publication date: 1-Dec-2012.
  1041. Bader-El-Den M and Gaber M GARF Proceedings of the 19th international conference on Neural Information Processing - Volume Part II, (506-515)
  1042. ACM
    Mo H (2012). Ubiquity symposium: Evolutionary computation and the processes of life, Ubiquity, 2012:November, (1-9), Online publication date: 1-Nov-2012.
  1043. ACM
    Wang S, Gao B, Wang S, Cao G and Yin Y Polygene-based evolution Proceedings of the 21st ACM international conference on Information and knowledge management, (2263-2266)
  1044. Perrin D, Bezbradica M, Crane M, Ruskin H and Duhamel C High-Performance Computing for Data Analytics Proceedings of the 2012 IEEE/ACM 16th International Symposium on Distributed Simulation and Real Time Applications, (234-242)
  1045. Zhang T, Chaovalitwongse W and Zhang Y (2012). Scatter search for the stochastic travel-time vehicle routing problem with simultaneous pick-ups and deliveries, Computers and Operations Research, 39:10, (2277-2290), Online publication date: 1-Oct-2012.
  1046. Ramirez A, Fredericks E, Jensen A and Cheng B Automatically RELAXing a goal model to cope with uncertainty Proceedings of the 4th international conference on Search Based Software Engineering, (198-212)
  1047. Beran P, Vinek E, Schikuta E and Leitner M An Adaptive Heuristic Approach to Service Selection Problems in Dynamic Distributed Systems Proceedings of the 2012 ACM/IEEE 13th International Conference on Grid Computing, (66-75)
  1048. Pérez J, Cladera A, Rabuñal J and Martínez-Abella F (2012). Optimization of existing equations using a new Genetic Programming algorithm, Advances in Engineering Software, 50:C, (82-96), Online publication date: 1-Aug-2012.
  1049. Praga-Alejo R, Torres-Treviño L, González-González D, Acevedo-Dávila J and Cepeda-Rodríguez F (2012). Analysis and evaluation in a welding process applying a Redesigned Radial Basis Function, Expert Systems with Applications: An International Journal, 39:10, (9669-9675), Online publication date: 1-Aug-2012.
  1050. Kuah C, Wong K and Wong W (2012). Monte Carlo Data Envelopment Analysis with Genetic Algorithm for Knowledge Management performance measurement, Expert Systems with Applications: An International Journal, 39:10, (9348-9358), Online publication date: 1-Aug-2012.
  1051. Liukkonen M, Havia E and Hiltunen Y (2012). Computational intelligence in mass soldering of electronics - A survey, Expert Systems with Applications: An International Journal, 39:10, (9928-9937), Online publication date: 1-Aug-2012.
  1052. ACM
    Reis G, Fernandéz F and Ferreira A Evolutionary algorithms and automatic transcription of music Proceedings of the 14th annual conference companion on Genetic and evolutionary computation, (477-484)
  1053. ACM
    Rafael B, Affenzeller M and Wagner S An adaption of the schema theorem to various crossover and mutation operators for a music segmentation problem Proceedings of the 14th annual conference companion on Genetic and evolutionary computation, (469-476)
  1054. ACM
    Kaliakatsos-Papakostas M, Floros A, Kanellopoulos N and Vrahatis M Genetic evolution of L and FL-systems for the production of rhythmic sequences Proceedings of the 14th annual conference companion on Genetic and evolutionary computation, (461-468)
  1055. ACM
    Lourenço N, Pereira F and Costa E Evolving evolutionary algorithms Proceedings of the 14th annual conference companion on Genetic and evolutionary computation, (51-58)
  1056. ACM
    Padhye N Evolutionary approaches for real world applications in 21st century Proceedings of the 14th annual conference companion on Genetic and evolutionary computation, (43-48)
  1057. ACM
    Stonedahl F and Stonedahl S Darwinian rivers Proceedings of the 14th annual conference on Genetic and evolutionary computation, (1175-1182)
  1058. ACM
    Smith R and Hussain M Hybrid metaheuristic particle filters for stochastic volatility estimation Proceedings of the 14th annual conference on Genetic and evolutionary computation, (1167-1174)
  1059. ACM
    Hauschild M, Bhatia S and Pelikan M Image segmentation using a genetic algorithm and hierarchical local search Proceedings of the 14th annual conference on Genetic and evolutionary computation, (633-640)
  1060. ACM
    De Lucia A, Di Penta M, Oliveto R and Panichella A Estimating the evolution direction of populations to improve genetic algorithms Proceedings of the 14th annual conference on Genetic and evolutionary computation, (617-624)
  1061. ACM
    Chen W, Shao C, Hsu P and Yu T A test problem with adjustable degrees of overlap and conflict among subproblems Proceedings of the 14th annual conference on Genetic and evolutionary computation, (257-264)
  1062. ACM
    Lim S and Bentley P How to be a successful app developer Proceedings of the 14th annual conference on Genetic and evolutionary computation, (129-136)
  1063. Isele R and Bizer C (2012). Learning expressive linkage rules using genetic programming, Proceedings of the VLDB Endowment, 5:11, (1638-1649), Online publication date: 1-Jul-2012.
  1064. ACM
    Lim S and Bentley P (2012). How to be a successful app developer, ACM SIGEVOlution, 6:1, (2-15), Online publication date: 1-Jul-2012.
  1065. ACM
    Kebir S, Seriai A, Chaoui A and Chardigny S Comparing and combining genetic and clustering algorithms for software component identification from object-oriented code Proceedings of the Fifth International C* Conference on Computer Science and Software Engineering, (1-8)
  1066. Tecuanhuehue-Vera P, Carrasco-Ochoa J and Martínez-Trinidad J Genetic algorithm for multidimensional scaling over mixed and incomplete data Proceedings of the 4th Mexican conference on Pattern Recognition, (226-235)
  1067. dos Santos Amorim E, Xavier C, Campos R and dos Santos R Comparison between genetic algorithms and differential evolution for solving the history matching problem Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part I, (635-648)
  1068. Zhu Z, Shen L, Sun Y, He S and Ji Z Memetic three-dimensional gabor feature extraction for hyperspectral imagery classification Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part I, (479-488)
  1069. Engel J, Holzer M, Ruepp O and Sehnke F On computer integrated rationalized crossword puzzle manufacturing Proceedings of the 6th international conference on Fun with Algorithms, (131-141)
  1070. Aigli K, Dimitris K, Konstantinos T, Spiros L, Athanasios T and Seferina M Predicting human miRNA target genes using a novel evolutionary methodology Proceedings of the 7th Hellenic conference on Artificial Intelligence: theories and applications, (291-298)
  1071. Galanopoulos D, Athanasiadis C and Tefas A Evolutionary optimization of a neural network controller for car racing simulation Proceedings of the 7th Hellenic conference on Artificial Intelligence: theories and applications, (149-156)
  1072. Vidal T, Crainic T, Gendreau M, Lahrichi N and Rei W (2012). A Hybrid Genetic Algorithm for Multidepot and Periodic Vehicle Routing Problems, Operations Research, 60:3, (611-624), Online publication date: 1-May-2012.
  1073. Yang C, Cheng Y, Yang C and Chuang L (2012). Mutagenic Primer Design for Mismatch PCR-RFLP SNP Genotyping Using a Genetic Algorithm, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 9:3, (837-845), Online publication date: 1-May-2012.
  1074. Lu L, Anderson-Cook C and Robinson T (2012). A case study to demonstrate a Pareto Frontier for selecting a best response surface design while simultaneously optimizing multiple criteria, Applied Stochastic Models in Business and Industry, 28:3, (206-221), Online publication date: 1-May-2012.
  1075. ACM
    Orgaz G, R-Moreno M, Camacho D and Barrero D Clustering avatars behaviours from virtual worlds interactions Proceedings of the 4th International Workshop on Web Intelligence & Communities, (1-7)
  1076. ACM
    Lempel R, Barenboim R, Bortnikov E, Golbandi N, Kagian A, Katzir L, Makabee H, Roy S and Somekh O Hierarchical composable optimization of web pages Proceedings of the 21st International Conference on World Wide Web, (53-62)
  1077. ACM
    Marés J and Torra V An evolutionary optimization approach for categorical data protection Proceedings of the 2012 Joint EDBT/ICDT Workshops, (148-157)
  1078. Simić D and Simić S Hybrid artificial intelligence approaches on vehicle routing problem in logistics distribution Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I, (208-220)
  1079. Muzy A and Zeigler B Activity-based credit assignment (ACA) in hierarchical simulation Proceedings of the 2012 Symposium on Theory of Modeling and Simulation - DEVS Integrative M&S Symposium, (1-8)
  1080. ACM
    Saleh M, Soeanu A, Ray S, Debbabi M, Berger J and Boukhtouta A Mechanism design for decentralized vehicle routing problem Proceedings of the 27th Annual ACM Symposium on Applied Computing, (749-754)
  1081. Del Moral P, Hu P and Wu L (2012). On the Concentration Properties of Interacting Particle Processes, Foundations and Trends® in Machine Learning, 3:3–4, (225-389), Online publication date: 1-Mar-2012.
  1082. Gacto M, Alcalá R and Herrera F (2012). A multi-objective evolutionary algorithm for an effective tuning of fuzzy logic controllers in heating, ventilating and air conditioning systems, Applied Intelligence, 36:2, (330-347), Online publication date: 1-Mar-2012.
  1083. Subotic M, Misic I and Tuba M An object-oriented implementation of the firefly algorithm for continuous unconstrained optimization problems Proceedings of the 6th WSEAS international conference on Computer Engineering and Applications, and Proceedings of the 2012 American conference on Applied Mathematics, (411-416)
  1084. Brajevic I and Tuba M Modified seeker optimization algorithm for unconstrained optimization problems Proceedings of the 6th WSEAS international conference on Computer Engineering and Applications, and Proceedings of the 2012 American conference on Applied Mathematics, (395-400)
  1085. Tuba M Swarm intelligence algorithms parameter tuning Proceedings of the 6th WSEAS international conference on Computer Engineering and Applications, and Proceedings of the 2012 American conference on Applied Mathematics, (389-394)
  1086. Alexiou A and Vlamos P (2012). A cultural algorithm for the representation of mitochondrial population, Advances in Artificial Intelligence, 2012, (1-1), Online publication date: 1-Jan-2012.
  1087. ACM
    Ioannides C and Eder K (2012). Coverage-Directed Test Generation Automated by Machine Learning -- A Review, ACM Transactions on Design Automation of Electronic Systems, 17:1, (1-21), Online publication date: 1-Jan-2012.
  1088. ACM
    Beran P, Vinek E and Schikuta E A cloud-based framework for QoS-aware service selection optimization Proceedings of the 13th International Conference on Information Integration and Web-based Applications and Services, (284-287)
  1089. Dracopoulos D (2011). Genetic evolution of controllers for challenging control problems, Journal of Computational Methods in Sciences and Engineering, 11:4, (227-242), Online publication date: 1-Dec-2011.
  1090. Christinal H, Díaz-Pernil D and Real P (2011). Region-based segmentation of 2D and 3D images with tissue-like P systems, Pattern Recognition Letters, 32:16, (2206-2212), Online publication date: 1-Dec-2011.
  1091. Vellasques E, Sabourin R and Granger E (2011). A high throughput system for intelligent watermarking of bi-tonal images, Applied Soft Computing, 11:8, (5215-5229), Online publication date: 1-Dec-2011.
  1092. Siva Sathya S and Kuppuswami S (2011). Gene silencing-A genetic operator for constrained optimization, Applied Soft Computing, 11:8, (5801-5808), Online publication date: 1-Dec-2011.
  1093. Rodriguez-Cristerna A, Torres-Jiménez J, Rivera-Islas I, Hernandez-Morales C, Romero-Monsivais H and Jose-Garcia A A mutation-selection algorithm for the problem of minimum brauer chains Proceedings of the 10th international conference on Artificial Intelligence: advances in Soft Computing - Volume Part II, (107-118)
  1094. Aguilar O and Huegel J Inverse kinematics solution for robotic manipulators using a CUDA-Based parallel genetic algorithm Proceedings of the 10th Mexican international conference on Advances in Artificial Intelligence - Volume Part I, (490-503)
  1095. ACM
    Yu L Crowd creativity through combination Proceedings of the 8th ACM conference on Creativity and cognition, (471-472)
  1096. ACM
    Gabora L and Saberi M An agent-based model of the cognitive mechanisms underlying the origins of creative cultural evolution Proceedings of the 8th ACM conference on Creativity and cognition, (299-306)
  1097. Bhattacharyya R, Kumar P and Kar S (2011). Fuzzy R&D portfolio selection of interdependent projects, Computers & Mathematics with Applications, 62:10, (3857-3870), Online publication date: 1-Nov-2011.
  1098. ACM
    Sonmez Turan M Evolutionary construction of de bruijn sequences Proceedings of the 4th ACM workshop on Security and artificial intelligence, (81-86)
  1099. ACM
    Thoring K and Müller R Understanding the creative mechanisms of design thinking Procedings of the Second Conference on Creativity and Innovation in Design, (137-147)
  1100. Salomon A and Audibert J Deviations of stochastic bandit regret Proceedings of the 22nd international conference on Algorithmic learning theory, (159-173)
  1101. Duman E and Ozcelik M (2011). Detecting credit card fraud by genetic algorithm and scatter search, Expert Systems with Applications: An International Journal, 38:10, (13057-13063), Online publication date: 15-Sep-2011.
  1102. Lessmann S, Caserta M and Arango I (2011). Tuning metaheuristics, Expert Systems with Applications: An International Journal, 38:10, (12826-12838), Online publication date: 15-Sep-2011.
  1103. Mokhtari H, Abadi I and Zegordi S (2011). Production capacity planning and scheduling in a no-wait environment with controllable processing times, Expert Systems with Applications: An International Journal, 38:10, (12630-12642), Online publication date: 15-Sep-2011.
  1104. Curiel L, Baruque B, Dueñas C, Corchado E and Pérez-Tárrago C Genetic algorithms to simplify prognosis of endocarditis Proceedings of the 12th international conference on Intelligent data engineering and automated learning, (454-462)
  1105. Mirikitani D, Tsui L and Ouarbya L Evolving recurrent neural models of geomagnetic storms Proceedings of the 12th international conference on Intelligent data engineering and automated learning, (244-251)
  1106. Lin X, Yang Z and Song Y (2011). Intelligent stock trading system based on improved technical analysis and Echo State Network, Expert Systems with Applications: An International Journal, 38:9, (11347-11354), Online publication date: 1-Sep-2011.
  1107. Qin Y, Ding M and Luo H Optimal precoding for bi-directional MIMO transmission with network coding Proceedings of the 6th international conference on Wireless algorithms, systems, and applications, (311-321)
  1108. Picek S, Golub M and Jakobovic D Evaluation of crossover operator performance in genetic algorithms with binary representation Proceedings of the 7th international conference on Intelligent Computing: bio-inspired computing and applications, (223-230)
  1109. Koljonen J (2011). Comparison of nearest point algorithms by genetic algorithms, Expert Systems with Applications: An International Journal, 38:8, (10303-10311), Online publication date: 1-Aug-2011.
  1110. Song W, Cheon Choi L, Cheol Park S and Feng Ding X (2011). Fuzzy evolutionary optimization modeling and its applications to unsupervised categorization and extractive summarization, Expert Systems with Applications: An International Journal, 38:8, (9112-9121), Online publication date: 1-Aug-2011.
  1111. Narayanan B A and Ravindran B Fractional moments on bandit problems Proceedings of the Twenty-Seventh Conference on Uncertainty in Artificial Intelligence, (531-538)
  1112. ACM
    O'Reilly U Genetic programming Proceedings of the 13th annual conference companion on Genetic and evolutionary computation, (861-874)
  1113. ACM
    Guo W, Jank W and Rand W Estimating functional agent-based models Proceedings of the 13th annual conference companion on Genetic and evolutionary computation, (559-566)
  1114. ACM
    Stonedahl F, Anderson D and Rand W When does simulated data match real data? Proceedings of the 13th annual conference companion on Genetic and evolutionary computation, (231-232)
  1115. ACM
    O'Neill M, Nicolau M and Brabazon A Dynamic environments can speed up evolution with genetic programming Proceedings of the 13th annual conference companion on Genetic and evolutionary computation, (191-192)
  1116. ACM
    Santana R, Muelas S, LaTorre A and Peña J A direct optimization approach to the P300 speller Proceedings of the 13th annual conference on Genetic and evolutionary computation, (1747-1754)
  1117. ACM
    Swafford J, Hemberg E, O'Neill M, Nicolau M and Brabazon A A non-destructive grammar modification approach to modularity in grammatical evolution Proceedings of the 13th annual conference on Genetic and evolutionary computation, (1411-1418)
  1118. ACM
    Trujillo L, Martínez Y, Galván-López E and Legrand P Predicting problem difficulty for genetic programming applied to data classification Proceedings of the 13th annual conference on Genetic and evolutionary computation, (1355-1362)
  1119. ACM
    Franco M, Krasnogor N and Bacardit J Modelling the initialisation stage of the ALKR representation for discrete domains and GABIL encoding Proceedings of the 13th annual conference on Genetic and evolutionary computation, (1291-1298)
  1120. ACM
    Pelikan M Analysis of epistasis correlation on NK landscapes with nearest-neighbor interactions Proceedings of the 13th annual conference on Genetic and evolutionary computation, (1013-1020)
  1121. ACM
    Pelikan M, Hauschild M and Thierens D Pairwise and problem-specific distance metrics in the linkage tree genetic algorithm Proceedings of the 13th annual conference on Genetic and evolutionary computation, (1005-1012)
  1122. ACM
    Sutton A, Whitley D and Howe A Mutation rates of the (1+1)-EA on pseudo-boolean functions of bounded epistasis Proceedings of the 13th annual conference on Genetic and evolutionary computation, (973-980)
  1123. ACM
    Nadi F and Khader A A parameter-less genetic algorithm with customized crossover and mutation operators Proceedings of the 13th annual conference on Genetic and evolutionary computation, (901-908)
  1124. ACM
    Hauschild M and Pelikan M Advanced neighborhoods and problem difficulty measures Proceedings of the 13th annual conference on Genetic and evolutionary computation, (625-632)
  1125. ACM
    Ruiz-Torrubiano R and Suarez A The TransRAR crossover operator for genetic algorithms with set encoding Proceedings of the 13th annual conference on Genetic and evolutionary computation, (489-496)
  1126. ACM
    Zaki N, Bouktif S and Lazarova-Molnar S A genetic algorithm to enhance transmembrane helices prediction Proceedings of the 13th annual conference on Genetic and evolutionary computation, (347-354)
  1127. Sahpaski D, Pejov L and Misev A Optimization of intermolecular interaction potential energy parameters for monte-carlo and molecular dynamics simulations Proceedings of the 8th international conference on Large-Scale Scientific Computing, (464-471)
  1128. Gonsalves T and Itoh K (2011). GA optimization of Petri net-modeled concurrent service systems, Applied Soft Computing, 11:5, (3929-3937), Online publication date: 1-Jul-2011.
  1129. Li N and Luo Y An improved co-evolution genetic algorithm for combinatorial optimization problems Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part I, (506-513)
  1130. Wong M and Pao W (2011). A genetic algorithm for optimizing gravity die casting's heat transfer coefficients, Expert Systems with Applications: An International Journal, 38:6, (7076-7080), Online publication date: 1-Jun-2011.
  1131. Al-Muhaideb S and Menai M (2011). Evolutionary computation approaches to the Curriculum Sequencing problem, Natural Computing: an international journal, 10:2, (891-920), Online publication date: 1-Jun-2011.
  1132. Molina J and Carmona E Localization and segmentation of the optic nerve head in eye fundus images using pyramid representation and genetic algorithms Proceedings of the 4th international conference on Interplay between natural and artificial computation - Volume Part I, (431-440)
  1133. ACM
    Yu L and Nickerson J Cooks or cobblers? Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, (1393-1402)
  1134. Lu H, Yang G and Yeung L (2011). A similarity matrix-based hybrid algorithm for the contact map overlaps problem, Computers in Biology and Medicine, 41:5, (247-252), Online publication date: 1-May-2011.
  1135. Amoretti M A design framework for ultra-large-scale autonomic systems Proceedings of the 2011 international conference on Applications of evolutionary computation - Volume Part I, (12-21)
  1136. Zhang Q and Jia J A GPU based high-efficient and accurate optimal pose alignment approach of 3D objects Proceedings of the 4th Eurographics conference on 3D Object Retrieval, (97-100)
  1137. ACM
    Santosa H, Milton J and Kennedy P HMXT-GP Proceedings of the 2011 ACM Symposium on Applied Computing, (1070-1075)
  1138. ACM
    Ramirez A, Jensen A and Cheng B An aspect-oriented approach for implementing evolutionary computation applications Proceedings of the tenth international conference on Aspect-oriented software development, (153-164)
  1139. Atila U, Karas I, Gologlu C, Yaman B and Orak I Design of a route guidance system with shortest driving time based on genetic algorithm Proceedings of the 10th WSEAS international conference on Applied computer and applied computational science, (61-66)
  1140. ACM
    Rodionov A, Choo H and Nechunaeva K Framework for biologically inspired graph optimization Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication, (1-4)
  1141. Zhang Y and Agogino A (2011). Hierarchical component-based representations for evolving microelectromechanical systems designs, Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 25:1, (41-55), Online publication date: 1-Feb-2011.
  1142. Zhang J and Luo Y A novel bit freezing technique to improve gene specific co-regulation discovery from gene expression databases Proceedings of the Thirty-Fourth Australasian Computer Science Conference - Volume 113, (99-106)
  1143. Mitsuta T and Schmitt L Optimizing the performance of GNU-chess with a genetic algorithm Proceedings of the 13th International Conference on Humans and Computers, (124-131)
  1144. Chuang C and Chen Y (2010). Sensibility of linkage information and effectiveness of estimated distributions, Evolutionary Computation, 18:4, (547-579), Online publication date: 1-Dec-2010.
  1145. Zamani R (2010). An accelerating two-layer anchor search with application to the resource-constrained project scheduling problem, IEEE Transactions on Evolutionary Computation, 14:6, (975-984), Online publication date: 1-Dec-2010.
  1146. ACM
    Xiao J, Osterweil L and Wang Q Dynamic scheduling of emergency department resources Proceedings of the 1st ACM International Health Informatics Symposium, (590-599)
  1147. Yang M, Crenshaw J, Augustine B, Mareachen R and Wu Y (2010). AdaBoost-based face detection for embedded systems, Computer Vision and Image Understanding, 114:11, (1116-1125), Online publication date: 1-Nov-2010.
  1148. Geetha S, Sivatha Sindhu S and Kamaraj N (2010). Passive steganalysis based on higher order image statistics of curvelet transform, International Journal of Automation and Computing, 7:4, (531-542), Online publication date: 1-Nov-2010.
  1149. ACM
    Trümper J, Bohnet J and Döllner J Understanding complex multithreaded software systems by using trace visualization Proceedings of the 5th international symposium on Software visualization, (133-142)
  1150. Balbi S and Giupponi C (2010). Agent-Based Modelling of Socio-Ecosystems, International Journal of Agent Technologies and Systems, 2:4, (17-38), Online publication date: 1-Oct-2010.
  1151. Carmona C, González P, del Jesus M and Herrera F (2010). NMEEF-SD, IEEE Transactions on Fuzzy Systems, 18:5, (958-970), Online publication date: 1-Oct-2010.
  1152. Zhang Y, Zhou Z and Liu J (2010). The production scheduling problem in a multi-page invoice printing system, Computers and Operations Research, 37:10, (1814-1821), Online publication date: 1-Oct-2010.
  1153. Dimovski A, Velinov G and Sahpaski D Horizontal partitioning by predicate abstraction and its application to data warehouse design Proceedings of the 14th east European conference on Advances in databases and information systems, (164-175)
  1154. Alonso L, Pérez-Oria J, Fernández M, Rodríguez C, Arce J, Ibarra M and Ordoñez V Genetically tuned controller of an adaptive cruise control for urban traffic based on ultrasounds Proceedings of the 20th international conference on Artificial neural networks: Part II, (479-485)
  1155. ACM
    Gay G A baseline method for search-based software engineering Proceedings of the 6th International Conference on Predictive Models in Software Engineering, (1-11)
  1156. Ren Z, Jiang H, Xuan J and Luo Z Ant based hyper heuristics with space reduction Proceedings of the 11th international conference on Parallel problem solving from nature: Part I, (546-555)
  1157. Segura C, González Y, Miranda G and León C A multi-objective evolutionary approach for the antenna positioning problem Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part I, (51-60)
  1158. Tsai W and Chen A (2010). Strategy of global asset allocation using extended classifier system, Expert Systems with Applications: An International Journal, 37:9, (6611-6617), Online publication date: 1-Sep-2010.
  1159. Alshraideh M, Qatawneh M, AlMobaiden W and Sleit A (2010). Program-operators to improve test data generation search, WSEAS Transactions on Computers, 9:8, (799-811), Online publication date: 1-Aug-2010.
  1160. Sengstacken A, DeLaurentis D and Akbarzadeh-T M (2010). Optimization of shared autonomy vehicle control architectures for swarm operations, IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 40:4, (1145-1157), Online publication date: 1-Aug-2010.
  1161. Bai R, Burke E, Kendall G, Li J and McCollum B (2010). A hybrid evolutionary approach to the nurse Rostering problem, IEEE Transactions on Evolutionary Computation, 14:4, (580-590), Online publication date: 1-Aug-2010.
  1162. Soltani R, Jolai F and Zandieh M (2010). Two robust meta-heuristics for scheduling multiple job classes on a single machine with multiple criteria, Expert Systems with Applications: An International Journal, 37:8, (5951-5959), Online publication date: 1-Aug-2010.
  1163. Archetti F, Giordani I and Vanneschi L (2010). Genetic programming for anticancer therapeutic response prediction using the NCI-60 dataset, Computers and Operations Research, 37:8, (1395-1405), Online publication date: 1-Aug-2010.
  1164. ACM
    Ke J, Ke J and Lin C Cost optimization of an M/M/r queueing system with queue-dependent servers Proceedings of the 5th International Conference on Queueing Theory and Network Applications, (82-86)
  1165. ACM
    Butz M Learning classifier systems Proceedings of the 12th annual conference companion on Genetic and evolutionary computation, (2331-2352)
  1166. ACM
    Kim J Evolutionary learning in networked multi-agent organizations Proceedings of the 12th annual conference companion on Genetic and evolutionary computation, (2007-2010)
  1167. ACM
    Knittel A An activation reinforcement based classifier system for balancing generalisation and specialisation (ARCS) Proceedings of the 12th annual conference companion on Genetic and evolutionary computation, (1871-1878)
  1168. ACM
    Zechman E Integrating complex adaptive system simulation and evolutionary computation to support water infrastructure threat management Proceedings of the 12th annual conference companion on Genetic and evolutionary computation, (1809-1816)
  1169. ACM
    Smith J Implicit fitness and heterogeneous preferences in the genetic algorithm Proceedings of the 12th annual conference companion on Genetic and evolutionary computation, (1785-1792)
  1170. ACM
    Tran T and Jin G Real-coded genetic algorithm benchmarked on noiseless black-box optimization testbed Proceedings of the 12th annual conference companion on Genetic and evolutionary computation, (1731-1738)
  1171. ACM
    Manzoni L, Vanneschi L and Mauri G Definition of a crossover based distance for genetic algorithms Proceedings of the 12th annual conference on Genetic and evolutionary computation, (1473-1474)
  1172. ACM
    Lee S and Moon B A new modular genetic programming for finding attractive technical patterns in stock markets Proceedings of the 12th annual conference on Genetic and evolutionary computation, (1219-1226)
  1173. ACM
    Stonedahl F, Rand W and Wilensky U Evolving viral marketing strategies Proceedings of the 12th annual conference on Genetic and evolutionary computation, (1195-1202)
  1174. ACM
    Garrett A, Chen Z and Smith D Constructing numerically stable real number codes using evolutionary computation Proceedings of the 12th annual conference on Genetic and evolutionary computation, (1163-1170)
  1175. ACM
    Lode C, Richter U and Schmeck H Adaption of XCS to multi-learner predator/prey scenarios Proceedings of the 12th annual conference on Genetic and evolutionary computation, (1015-1022)
  1176. ACM
    Bongard J A probabilistic functional crossover operator for genetic programming Proceedings of the 12th annual conference on Genetic and evolutionary computation, (925-932)
  1177. ACM
    Downey C, Zhang M and Browne W New crossover operators in linear genetic programming for multiclass object classification Proceedings of the 12th annual conference on Genetic and evolutionary computation, (885-892)
  1178. ACM
    Ortegon-Cano P, Hartasanchez D and Stephens C Why recombination should be adaptive Proceedings of the 12th annual conference on Genetic and evolutionary computation, (831-832)
  1179. ACM
    Carlson B and Hougen D Phenotype feedback genetic algorithm operators for heuristic encoding of snakes within hypercubes Proceedings of the 12th annual conference on Genetic and evolutionary computation, (791-798)
  1180. ACM
    Galan S and Mengshoel O Generalized crowding for genetic algorithms Proceedings of the 12th annual conference on Genetic and evolutionary computation, (775-782)
  1181. ACM
    Hauschild M and Pelikan M Network crossover performance on NK landscapes and deceptive problems Proceedings of the 12th annual conference on Genetic and evolutionary computation, (713-720)
  1182. ACM
    Yehoshua R, Avigal M and Unger R Analysis of the effects of lifetime learning on population fitness using vose model Proceedings of the 12th annual conference on Genetic and evolutionary computation, (681-688)
  1183. ACM
    Chen W and Szeto K Complex energy landscape mapping by histogram assisted genetic algorithm Proceedings of the 12th annual conference on Genetic and evolutionary computation, (673-680)
  1184. ACM
    Downing K The baldwin effect in developing neural networks Proceedings of the 12th annual conference on Genetic and evolutionary computation, (555-562)
  1185. ACM
    Chuang C and Hsu W Multivariate multi-model approach for globally multimodal problems Proceedings of the 12th annual conference on Genetic and evolutionary computation, (311-318)
  1186. ACM
    Radetic E and Pelikan M Spurious dependencies and EDA scalability Proceedings of the 12th annual conference on Genetic and evolutionary computation, (303-310)
  1187. ACM
    Tsai C, Tseng S, Chiang M and Yang C A framework for accelerating metaheuristics via pattern reduction Proceedings of the 12th annual conference on Genetic and evolutionary computation, (293-294)
  1188. ACM
    Farinaccio A, Vanneschi L, Giacobini M, Mauri G and Provero P On the use of genetic programming for the prediction of survival in cancer Proceedings of the 12th annual conference on Genetic and evolutionary computation, (163-170)
  1189. Zhao N, Wu Z, Zhao Y and Quan T (2010). Ant colony optimization algorithm with mutation mechanism and its applications, Expert Systems with Applications: An International Journal, 37:7, (4805-4810), Online publication date: 1-Jul-2010.
  1190. ACM
    Majid M, Imran M and Hoshyar R Optimization of uplink sum-rate for bin based clustered cellular system using a genetic algorithm Proceedings of the 6th International Wireless Communications and Mobile Computing Conference, (1016-1020)
  1191. Gómez-Garay V, Irigoyen E and Artaza F GENNET-Toolbox Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I, (368-375)
  1192. Yu Q, Guo J and Zhou C A system identification using DRNN based on swarm intelligence Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part II, (132-139)
  1193. Li S, Li F and Mei Z A hybrid evolutionary algorithm based on alopex and estimation of distribution algorithm and its application for optimization Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part I, (549-557)
  1194. Chen T, Zhang L and Pang L On the farther analysis of performance of the artificial searching swarm algorithm Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part I, (34-41)
  1195. ACM
    Ramirez A, Cheng B, McKinley P and Beckmann B Automatically generating adaptive logic to balance non-functional tradeoffs during reconfiguration Proceedings of the 7th international conference on Autonomic computing, (225-234)
  1196. Sánchez-Anguix V, Valero S and García-Fornes A Tackling trust issues in virtual organization load balancing Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part III, (586-595)
  1197. Pulido M, Mancilla A and Melin P (2010). Ensemble neural networks with fuzzy logic integration for complex time series prediction, International Journal of Intelligent Engineering Informatics, 1:1, (89-103), Online publication date: 1-Jun-2010.
  1198. Mijajlovic M, Biggs M and Djurdjevic D (2010). On potential energy models for ea-based ab initio protein structure prediction, Evolutionary Computation, 18:2, (255-275), Online publication date: 1-Jun-2010.
  1199. Milton J and Kennedy P (2010). Static and dynamic selection thresholds governing the accumulation of information in genetic algorithms using ranked populations, Evolutionary Computation, 18:2, (229-254), Online publication date: 1-Jun-2010.
  1200. Lam A and Li V (2010). Chemical-reaction-inspired metaheuristic for optimization, IEEE Transactions on Evolutionary Computation, 14:3, (381-399), Online publication date: 1-Jun-2010.
  1201. Groissboeck W, Lughofer E and Thumfart S (2010). Associating visual textures with human perceptions using genetic algorithms, Information Sciences: an International Journal, 180:11, (2065-2084), Online publication date: 1-Jun-2010.
  1202. Kuroki Y, Young G and Haupt S (2010). UAV navigation by an expert system for contaminant mapping with a genetic algorithm, Expert Systems with Applications: An International Journal, 37:6, (4687-4697), Online publication date: 1-Jun-2010.
  1203. Chan T, Chen C, Wu Y, Jong B, Hsia Y and Lin T (2010). Applying the genetic encoded conceptual graph to grouping learning, Expert Systems with Applications: An International Journal, 37:6, (4103-4118), Online publication date: 1-Jun-2010.
  1204. Bouchachia A, Mittermeir R, Sielecky P, Stafiej S and Zieminski M (2010). Nature-inspired techniques for conformance testing of object-oriented software, Applied Soft Computing, 10:3, (730-745), Online publication date: 1-Jun-2010.
  1205. Høverstad B (2010). Simdist, Genetic Programming and Evolvable Machines, 11:2, (185-203), Online publication date: 1-Jun-2010.
  1206. Frei R and Barata J (2010). Distributed systems – from natural to engineered: three phases of inspiration by nature, International Journal of Bio-Inspired Computation, 2:3/4, (258-270), Online publication date: 1-May-2010.
  1207. Sheta A (2010). Analogue filter design using differential evolution, International Journal of Bio-Inspired Computation, 2:3/4, (233-241), Online publication date: 1-May-2010.
  1208. Slušný S, Neruda R and Vidnerová P (2010). 2010 Special Issue, Neural Networks, 23:4, (560-567), Online publication date: 1-May-2010.
  1209. Cheng C, Chen T and Wei L (2010). A hybrid model based on rough sets theory and genetic algorithms for stock price forecasting, Information Sciences: an International Journal, 180:9, (1610-1629), Online publication date: 1-May-2010.
  1210. Chen S, Newman T, Evans J and Wyglinski A Genetic algorithm-based optimization for cognitive radio networks Proceedings of the 33rd IEEE conference on Sarnoff, (403-408)
  1211. Şahin C, Gundry S, Urrea E, Uyar M, Conner M, Bertoli G and Pizzo C Convergence analysis of genetic algorithms for topology control in MANETs Proceedings of the 33rd IEEE conference on Sarnoff, (381-385)
  1212. ACM
    Valencia P, Lindsay P and Jurdak R Distributed genetic evolution in WSN Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks, (13-23)
  1213. Bevilacqua V, Mastronardi G and Piazzolla A An evolutionary method for model-based automatic segmentation of lower abdomen CT images for radiotherapy planning Proceedings of the 2010 international conference on Applications of Evolutionary Computation - Volume Part I, (320-327)
  1214. Hsieh S (2010). Use of GA based approach for engineering design through WWW, WSEAS Transactions on Computers, 9:4, (372-381), Online publication date: 1-Apr-2010.
  1215. Banks A and Vincent J (2010). Hybridisation of particle swarm optimisation with area concentrated search, International Journal of Knowledge-based and Intelligent Engineering Systems, 14:2, (95-114), Online publication date: 1-Apr-2010.
  1216. Hawick K and Scogings C (2010). Spatial pattern growth and emergent animat segregation, Web Intelligence and Agent Systems, 8:2, (165-179), Online publication date: 1-Apr-2010.
  1217. Zhu Z, Ong Y and Zurada J (2010). Identification of Full and Partial Class Relevant Genes, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 7:2, (263-277), Online publication date: 1-Apr-2010.
  1218. Zegordi S, Abadi I and Nia M (2010). A novel genetic algorithm for solving production and transportation scheduling in a two-stage supply chain, Computers and Industrial Engineering, 58:3, (373-381), Online publication date: 1-Apr-2010.
  1219. Yimer A and Demirli K (2010). A genetic approach to two-phase optimization of dynamic supply chain scheduling, Computers and Industrial Engineering, 58:3, (411-422), Online publication date: 1-Apr-2010.
  1220. ACM
    Lamprier S, Amghar T, Saubion F and Levrat B Query-oriented clustering Proceedings of the 2010 ACM Symposium on Applied Computing, (1789-1795)
  1221. ACM
    Toledo C, de Oliveira L, de Oliveira R and Pereira M Parallel genetic algorithm approaches applied to solve a synchronized and integrated lot sizing and scheduling problem Proceedings of the 2010 ACM Symposium on Applied Computing, (1148-1152)
  1222. ACM
    Yan Y and Li W Correlation aware synchronization for near real time decision support systems Proceedings of the 13th International Conference on Extending Database Technology, (39-50)
  1223. Xiao J, Osterweil L, Wang Q and Li M Dynamic resource scheduling in disruption-prone software development environments Proceedings of the 13th international conference on Fundamental Approaches to Software Engineering, (107-122)
  1224. Yang X (2010). Firefly algorithm, stochastic test functions and design optimisation, International Journal of Bio-Inspired Computation, 2:2, (78-84), Online publication date: 1-Mar-2010.
  1225. Saha S and Bandyopadhyay S (2010). A symmetry based multiobjective clustering technique for automatic evolution of clusters, Pattern Recognition, 43:3, (738-751), Online publication date: 1-Mar-2010.
  1226. Ang J, Tan K and Mamun A (2010). An evolutionary memetic algorithm for rule extraction, Expert Systems with Applications: An International Journal, 37:2, (1302-1315), Online publication date: 1-Mar-2010.
  1227. Park J, Lee D, Song C and Chun M (2010). TAIFEX and KOSPI 200 forecasting based on two-factors high-order fuzzy time series and particle swarm optimization, Expert Systems with Applications: An International Journal, 37:2, (959-967), Online publication date: 1-Mar-2010.
  1228. Chen H, Zhu Y and Hu K (2010). Original research paper, Applied Soft Computing, 10:2, (539-547), Online publication date: 1-Mar-2010.
  1229. Tsang P, Yuen T and Situ W (2010). Enhanced affine invariant matching of broken boundaries based on particle swarm optimization and the dynamic migrant principle, Applied Soft Computing, 10:2, (432-438), Online publication date: 1-Mar-2010.
  1230. Pillay N and Banzhaf W (2010). An informed genetic algorithm for the examination timetabling problem, Applied Soft Computing, 10:2, (457-467), Online publication date: 1-Mar-2010.
  1231. Epitropakis M, Plagianakos V and Vrahatis M (2010). Hardware-friendly Higher-Order Neural Network Training using Distributed Evolutionary Algorithms, Applied Soft Computing, 10:2, (398-408), Online publication date: 1-Mar-2010.
  1232. Tode H, Hamada K and Murakami K ORGAN Proceedings of the 14th conference on Optical network design and modeling, (147-152)
  1233. Yu L, Zhao Y, Ni R and Li T (2010). Improved adaptive LSB steganography based on chaos and genetic algorithm, EURASIP Journal on Advances in Signal Processing, 2010, (1-6), Online publication date: 1-Feb-2010.
  1234. Liu J, Zhong W and Jiao L (2010). A multiagent evolutionary algorithm for combinatorial optimization problems, IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 40:1, (229-240), Online publication date: 1-Feb-2010.
  1235. Gaudioso M, Moccia L and Monaco M (2010). Repulsive Assignment Problem, Journal of Optimization Theory and Applications, 144:2, (255-273), Online publication date: 1-Feb-2010.
  1236. Rambharose T and Nikov A Personalization of web-based systems based on computational intelligence modeling Proceedings of the 4th WSEAS international conference on Computer engineering and applications, (170-175)
  1237. Yoshikawa M, Nishimura H and Terai H A new genetic coding for job shop scheduling problem considering geno type and pheno type Proceedings of the 4th WSEAS international conference on Computer engineering and applications, (59-62)
  1238. Darcy P, Stantic B and Sattar A Applying a neural network to recover missed RFID readings Proceedings of the Thirty-Third Australasian Conferenc on Computer Science - Volume 102, (133-142)
  1239. Alcala-Fdez J, Flugy-Pape N, Bonarini A and Herrera F (2010). Analysis of the Effectiveness of the Genetic Algorithms based on Extraction of Association Rules, Fundamenta Informaticae, 98:1, (1-14), Online publication date: 1-Jan-2010.
  1240. Pepper J (2010). Efficient use of variation in evolutionary optimization, Applied Computational Intelligence and Soft Computing, 2010, (1-19), Online publication date: 1-Jan-2010.
  1241. Pavani S, Delgado D and Frangi A (2010). Haar-like features with optimally weighted rectangles for rapid object detection, Pattern Recognition, 43:1, (160-172), Online publication date: 1-Jan-2010.
  1242. Jurasovic K and Kusek M (2010). Genetic algorithm for optimizing service distributions, Neurocomputing, 73:4-6, (661-668), Online publication date: 1-Jan-2010.
  1243. Wu S and Banzhaf W (2010). Review, Applied Soft Computing, 10:1, (1-35), Online publication date: 1-Jan-2010.
  1244. Ghoseiri K and Ghannadpour S (2010). A hybrid genetic algorithm for multi-depot homogenous locomotive assignment with time windows, Applied Soft Computing, 10:1, (53-65), Online publication date: 1-Jan-2010.
  1245. Gao X, Chen Y, Zhou J, Liu J, Miao C and Chen Z Genetic sampling in eigenspace for 3D caricature synthesis Proceedings of the 7th international conference on Information, communications and signal processing, (230-233)
  1246. Liu H, Abraham A and Wang Z (2009). A Multi-swarm Approach to Multi-objective Flexible Job-shop Scheduling Problems, Fundamenta Informaticae, 95:4, (465-489), Online publication date: 1-Dec-2009.
  1247. Liu H, Abraham A and Wang Z (2009). A Multi-swarm Approach to Multi-objective Flexible Job-shop Scheduling Problems, Fundamenta Informaticae, 95:4, (465-489), Online publication date: 1-Dec-2009.
  1248. Gorissen D, Dhaene T and Turck F (2009). Evolutionary Model Type Selection for Global Surrogate Modeling, The Journal of Machine Learning Research, 10, (2039-2078), Online publication date: 1-Dec-2009.
  1249. Yu T, Goldberg D, Sastry K, Lima C and Pelikan M (2009). Dependency structure matrix, genetic algorithms, and effective recombination, Evolutionary Computation, 17:4, (595-626), Online publication date: 1-Dec-2009.
  1250. Howington E and Gray J (2009). Matrix-based genetic algorithm for computing the minimum volume ellipsoid, IEEE Transactions on Evolutionary Computation, 13:6, (1247-1260), Online publication date: 1-Dec-2009.
  1251. Wang F and Chang K (2009). Modified diffusion model with multiple products using a hybrid GA approach, Expert Systems with Applications: An International Journal, 36:10, (12613-12620), Online publication date: 1-Dec-2009.
  1252. ACM
    Bharathi S and Chervenak A Scheduling data-intensive workflows on storage constrained resources Proceedings of the 4th Workshop on Workflows in Support of Large-Scale Science, (1-10)
  1253. ACM
    Yannakakis G Learning from preferences and selected multimodal features of players Proceedings of the 2009 international conference on Multimodal interfaces, (115-118)
  1254. Yannakakis G, Maragoudakis M and Hallam J (2009). Preference learning for cognitive modeling, IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans, 39:6, (1165-1175), Online publication date: 1-Nov-2009.
  1255. Chen J, Chen X, Yang J, Shan S, Wang R and Gao W (2009). Optimization of a training set for more robust face detection, Pattern Recognition, 42:11, (2828-2840), Online publication date: 1-Nov-2009.
  1256. Song W, Wang S and Li C (2009). Parametric and nonparametric evolutionary computing with a content-based feature selection approach for parallel categorization, Expert Systems with Applications: An International Journal, 36:9, (11934-11943), Online publication date: 1-Nov-2009.
  1257. ACM
    Pretorius C, du Plessis M and Cilliers C Towards an artificial neural network-based simulator for behavioural evolution in evolutionary robotics Proceedings of the 2009 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists, (170-178)
  1258. Li Y, Hu X and Zhang J A new genetic algorithm for the set k-cover problem in wireless sensor networks Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics, (1405-1410)
  1259. Mabu S and Hirasawa K Evolving plural programs by genetic network programming with multi-start nodes Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics, (1382-1387)
  1260. Chiu C, Chen K and Ke C Optimal RFID networks scheduling using genetic algorithm and swarm intelligence Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics, (1201-1208)
  1261. Arevalillo-Herráez M, Ferri F and Moreno-Picot S An interactive evolutionary approach for content based image retrieval Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics, (120-125)
  1262. Stradner J, Hamann H, Schmickl T and Crailsheim K Analysis and implementation of an artificial homeostatic hormone system Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems, (595-600)
  1263. Wang L and Kazmierski T (2009). VHDL-AMS Based Genetic Optimization of Mixed-Physical-Domain Systems in Automotive Applications, Simulation, 85:10, (661-670), Online publication date: 1-Oct-2009.
  1264. Toscano R and Lyonnet P (2009). Heuristic Kalman algorithm for solving optimization problems, IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 39:5, (1231-1244), Online publication date: 1-Oct-2009.
  1265. Park H, Pedrycz W and Oh S (2009). Granular neural networks and their development through context-based clustering and adjustable dimensionality of receptive fields, IEEE Transactions on Neural Networks, 20:10, (1604-1616), Online publication date: 1-Oct-2009.
  1266. Alcalá R, Ducange P, Herrera F, Lazzerini B and Marcelloni F (2009). A multiobjective evolutionary approach to concurrently learn rule and data bases of linguistic fuzzy-rule-based systems, IEEE Transactions on Fuzzy Systems, 17:5, (1106-1122), Online publication date: 1-Oct-2009.
  1267. Orriols-Puig A, Bernadó-Mansilla E, Goldberg D, Sastry K and Lanzi P (2009). Facetwise analysis of XCS for problems with class imbalances, IEEE Transactions on Evolutionary Computation, 13:5, (1093-1119), Online publication date: 1-Oct-2009.
  1268. Zhang J and Sanderson A (2009). JADE, IEEE Transactions on Evolutionary Computation, 13:5, (945-958), Online publication date: 1-Oct-2009.
  1269. Deb K, Gupta S, Daum D, Branke J, Mall A and Padmanabhan D (2009). Reliability-based optimization using evolutionary algorithms, IEEE Transactions on Evolutionary Computation, 13:5, (1054-1074), Online publication date: 1-Oct-2009.
  1270. He S, Wu Q and Saunders J (2009). Group search optimizer, IEEE Transactions on Evolutionary Computation, 13:5, (973-990), Online publication date: 1-Oct-2009.
  1271. Guillén A, Pomares H, González J, Rojas I, Valenzuela O and Prieto B (2009). Parallel multiobjective memetic RBFNNs design and feature selection for function approximation problems, Neurocomputing, 72:16-18, (3541-3555), Online publication date: 1-Oct-2009.
  1272. Chavarnakul T and Enke D (2009). A hybrid stock trading system for intelligent technical analysis-based equivolume charting, Neurocomputing, 72:16-18, (3517-3528), Online publication date: 1-Oct-2009.
  1273. Leon N (2009). The future of computer-aided innovation, Computers in Industry, 60:8, (539-550), Online publication date: 1-Oct-2009.
  1274. Hua Q, Tingting Z and Ruochen L The research of optimization algorithm in the sonar emergency system Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing, (2173-2175)
  1275. Hu X, Leeson M and Hines E Dynamic network coding problem Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing, (437-444)
  1276. Borg C, Rosner M and Pace G Evolutionary algorithms for definition extraction Proceedings of the 1st Workshop on Definition Extraction, (26-32)
  1277. Burrow P and Lucas S Evolution versus temporal difference learning for learning to play Ms. Pac-Man Proceedings of the 5th international conference on Computational Intelligence and Games, (53-60)
  1278. Manzato M, Macedo A and Goularte R (2009). Evaluation of video news classification techniques for automatic content personalisation, International Journal of Advanced Media and Communication, 3:4, (383-403), Online publication date: 1-Sep-2009.
  1279. ACM
    Keeler M, Farrar S, Hargus S and Majumdar A Complex adaptive reasoning Proceedings of the fifth international conference on Knowledge capture, (193-194)
  1280. Zhao Z, Peng Z, Zheng S and Shang J (2009). Cognitive radio spectrum allocation using evolutionary algorithms, IEEE Transactions on Wireless Communications, 8:9, (4421-4425), Online publication date: 1-Sep-2009.
  1281. Li Y, Yang Y, Ma M and Zhou L (2009). A hybrid load balancing strategy of sequential tasks for grid computing environments, Future Generation Computer Systems, 25:8, (819-828), Online publication date: 1-Sep-2009.
  1282. Matta M (2009). A genetic algorithm for the proportionate multiprocessor open shop, Computers and Operations Research, 36:9, (2601-2618), Online publication date: 1-Sep-2009.
  1283. Aguilar-Lasserre A, Pibouleau L, Azzaro-Pantel C and Domenech S (2009). Enhanced genetic algorithm-based fuzzy multiobjective strategy to multiproduct batch plant design, Applied Soft Computing, 9:4, (1321-1330), Online publication date: 1-Sep-2009.
  1284. Tsai C, Huang C and Lin C (2009). Structure-specified IIR filter and control design using real structured genetic algorithm, Applied Soft Computing, 9:4, (1285-1295), Online publication date: 1-Sep-2009.
  1285. Reza Mashinchi M and Selamat A (2009). An improvement on genetic-based learning method for fuzzy artificial neural networks, Applied Soft Computing, 9:4, (1208-1216), Online publication date: 1-Sep-2009.
  1286. Banks A, Vincent J and Phalp K (2009). Natural strategies for search, Natural Computing: an international journal, 8:3, (547-570), Online publication date: 1-Sep-2009.
  1287. Wei G and Xie X Research of using genetic algorithm of improvement to compute the most short path Proceedings of the 3rd international conference on Anti-Counterfeiting, security, and identification in communication, (516-519)
  1288. Szilágyi L, Iclanzan D, Szilagyi S, Dumitrescu D and Hirsbrunner B A generalized c-means clustering model using optimized via evolutionary computation Proceedings of the 18th international conference on Fuzzy Systems, (451-455)
  1289. Carpentieri M On multivariate genetic systems Proceedings of the 18th international conference on Fuzzy Systems, (35-40)
  1290. Cho J, Park J, Jeong J and Chun M Bacterial foraging with quorum sensing based optimization algorithm Proceedings of the 18th international conference on Fuzzy Systems, (29-34)
  1291. Mao Y and Wei G Sub-ontology modularization for large-scale web ontologies Proceedings of the 10th IEEE international conference on Information Reuse & Integration, (145-150)
  1292. Pan S (2009). Design of robust D-stable IIR filters using genetic algorithms with embedded stability criterion, IEEE Transactions on Signal Processing, 57:8, (3008-3016), Online publication date: 1-Aug-2009.
  1293. Dasgupta S, Das S, Abraham A and Biswas A (2009). Adaptive computational chemotaxis in bacterial foraging optimization, IEEE Transactions on Evolutionary Computation, 13:4, (919-941), Online publication date: 1-Aug-2009.
  1294. Hasegawa Y and Iba H (2009). Latent variable model for estimation of distribution algorithm based on a probabilistic context-free grammar, IEEE Transactions on Evolutionary Computation, 13:4, (858-878), Online publication date: 1-Aug-2009.
  1295. Jeong S, Hasegawa S, Shimoyama K and Obayashi S (2009). Development and investigation of efficient GA/PSO-hybrid algorithm applicable to real-world design optimization, IEEE Computational Intelligence Magazine, 4:3, (36-44), Online publication date: 1-Aug-2009.
  1296. Wang X, Qu H and Yi Z (2009). A modified pulse coupled neural network for shortest-path problem, Neurocomputing, 72:13-15, (3028-3033), Online publication date: 1-Aug-2009.
  1297. Xie W, Zhu Y, Zhao Z and Wong Y (2009). Nonlinear system identification using optimized dynamic neural network, Neurocomputing, 72:13-15, (3277-3287), Online publication date: 1-Aug-2009.
  1298. Huang J (2009). The evolutionary perspective of knowledge creation - A mathematical representation, Knowledge-Based Systems, 22:6, (430-438), Online publication date: 1-Aug-2009.
  1299. Xu J and Zhou X (2009). A class of multi-objective expected value decision-making model with birandom coefficients and its application to flow shop scheduling problem, Information Sciences: an International Journal, 179:17, (2997-3017), Online publication date: 1-Aug-2009.
  1300. Lukoševičius M and Jaeger H (2009). Survey, Computer Science Review, 3:3, (127-149), Online publication date: 1-Aug-2009.
  1301. Karaboga D and Akay B (2009). A comparative study of Artificial Bee Colony algorithm, Applied Mathematics and Computation, 214:1, (108-132), Online publication date: 1-Aug-2009.
  1302. Yu B and Yang Z (2009). A dynamic holding strategy in public transit systems with real-time information, Applied Intelligence, 31:1, (69-80), Online publication date: 1-Aug-2009.
  1303. ACM
    Scheidler A and Middendorf M Evolved cooperation and emergent communication structures in learning classifier based organic computing systems Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers, (2633-2640)
  1304. ACM
    Preen R An XCS approach to forecasting financial time series Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers, (2625-2632)
  1305. ACM
    Wilson J and Yan L Self-organizing economic activity with costly information Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers, (2567-2574)
  1306. ACM
    Perez-Miguel C, Miguel-Alonso J and Mendiburu A Evaluating the cell broadband engine as a platform to run estimation of distribution algorithms Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers, (2491-2498)
  1307. ACM
    Nicolau M Application of a simple binary genetic algorithm to a noiseless testbed benchmark Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers, (2473-2478)
  1308. ACM
    Díaz J, Hidalgo J, Fernández F, Garnica O and López S Improving SMT performance Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers, (2029-2034)
  1309. ACM
    Garrett A and Smith D Alternative voting systems in stock car racing Proceedings of the 11th Annual conference on Genetic and evolutionary computation, (1923-1924)
  1310. ACM
    Arcuri A Insight knowledge in search based software testing Proceedings of the 11th Annual conference on Genetic and evolutionary computation, (1649-1656)
  1311. ACM
    Mehdi S, Tanwani A and Farooq M IMAD Proceedings of the 11th Annual conference on Genetic and evolutionary computation, (1553-1560)
  1312. ACM
    Da Costa L and Schoenauer M Bringing evolutionary computation to industrial applications with guide Proceedings of the 11th Annual conference on Genetic and evolutionary computation, (1467-1474)
  1313. ACM
    Grouchy P, Thangavelautham J and D'Eleuterio G An island model for high-dimensional genomes using phylogenetic speciation and species barcoding Proceedings of the 11th Annual conference on Genetic and evolutionary computation, (1355-1362)
  1314. ACM
    Stalph P, Butz M, Goldberg D and Llorà X On the scalability of XCS(F) Proceedings of the 11th Annual conference on Genetic and evolutionary computation, (1315-1322)
  1315. ACM
    Preen R and Bull L Discrete dynamical genetic programming in XCS Proceedings of the 11th Annual conference on Genetic and evolutionary computation, (1299-1306)
  1316. ACM
    Howard G, Bull L and Lanzi P Towards continuous actions in continuous space and time using self-adaptive constructivism in neural XCSF Proceedings of the 11th Annual conference on Genetic and evolutionary computation, (1219-1226)
  1317. ACM
    Wong K, Leung K and Wong M An evolutionary algorithm with species-specific explosion for multimodal optimization Proceedings of the 11th Annual conference on Genetic and evolutionary computation, (923-930)
  1318. ACM
    Pelikan M, Sastry K, Goldberg D, Butz M and Hauschild M Performance of evolutionary algorithms on NK landscapes with nearest neighbor interactions and tunable overlap Proceedings of the 11th Annual conference on Genetic and evolutionary computation, (851-858)
  1319. ACM
    Pelikan M and Katzgraber H Analysis of evolutionary algorithms on the one-dimensional spin glass with power-law interactions Proceedings of the 11th Annual conference on Genetic and evolutionary computation, (843-850)
  1320. ACM
    Neumann F, Oliveto P and Witt C Theoretical analysis of fitness-proportional selection Proceedings of the 11th Annual conference on Genetic and evolutionary computation, (835-842)
  1321. ACM
    Hornby G Steady-state ALPS for real-valued problems Proceedings of the 11th Annual conference on Genetic and evolutionary computation, (795-802)
  1322. ACM
    Diaz-Gomez P and Hougen D Three interconnected parameters for genetic algorithms Proceedings of the 11th Annual conference on Genetic and evolutionary computation, (763-770)
  1323. ACM
    Mouret J and Doncieux S Using behavioral exploration objectives to solve deceptive problems in neuro-evolution Proceedings of the 11th Annual conference on Genetic and evolutionary computation, (627-634)
  1324. ACM
    Santana R, Bielza C, Lozano J and Larrañaga P Mining probabilistic models learned by EDAs in the optimization of multi-objective problems Proceedings of the 11th Annual conference on Genetic and evolutionary computation, (445-452)
  1325. ACM
    Castellini A and Manca V Learning regulation functions of metabolic systems by artificial neural networks Proceedings of the 11th Annual conference on Genetic and evolutionary computation, (193-200)
  1326. Wang C and Hwang R Context-Aware Path Planning in Ubiquitous Network Proceedings of the 6th International Conference on Ubiquitous Intelligence and Computing, (54-67)
  1327. Sheng W, Howells G, Fairhurst M, Deravi F and Harmer K (2009). Consensus fingerprint matching with genetically optimised approach, Pattern Recognition, 42:7, (1399-1407), Online publication date: 1-Jul-2009.
  1328. Lingras P Evolutionary Rough K-Means Clustering Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology, (68-75)
  1329. ACM
    Pries R, Staehle D, Stoykova M, Staehle B and Tran-Gia P A genetic approach for wireless mesh network planning and optimization Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly, (1422-1427)
  1330. ACM
    Robilliard D, Marion V and Fonlupt C High performance genetic programming on GPU Proceedings of the 2009 workshop on Bio-inspired algorithms for distributed systems, (85-94)
  1331. ACM
    Jones K and Hengue W Limitations of multivariable controller tuning using genetic algorithms Proceedings of the International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing, (1-5)
  1332. Lin P, Wang F and Liu L Hardenability prediction of gear steel in refining process Proceedings of the 21st annual international conference on Chinese control and decision conference, (6213-6219)
  1333. Weidong Y Optimal path planning in rapid prototyping based on genetic algorithm Proceedings of the 21st annual international conference on Chinese control and decision conference, (5104-5108)
  1334. Wei P, Bencheng Z and Lina Z Genetic algorithm combined with immune mechanism and its application in skill fuzzy control Proceedings of the 21st annual international conference on Chinese control and decision conference, (4906-4910)
  1335. Luo X, Tang J and Kwong C Optimal product positioning based on quality function deployment Proceedings of the 21st annual international conference on Chinese control and decision conference, (4320-4323)
  1336. Zhao F, Mei D, Sun J and Liu W A hybrid genetic algorithm for the vehicle routing problem with simultaneous pickup and delivery Proceedings of the 21st annual international conference on Chinese control and decision conference, (3964-3969)
  1337. ACM
    Ramirez A, Knoester D, Cheng B and McKinley P Applying genetic algorithms to decision making in autonomic computing systems Proceedings of the 6th international conference on Autonomic computing, (97-106)
  1338. Tsai C and Chao K (2009). Chromosome refinement for optimising multiple supply chains, Information Sciences: an International Journal, 179:14, (2403-2415), Online publication date: 15-Jun-2009.
  1339. Folly K and Venayagamoorthy G Effects of learning rate on the performance of the population based incremental learning algorithm Proceedings of the 2009 international joint conference on Neural Networks, (3477-3484)
  1340. Figueredo J and Gómez J Applying neural fields to the stability problem of an inverted pendulum as a simple biped walking model Proceedings of the 2009 international joint conference on Neural Networks, (3267-3274)
  1341. Santana L, Silva L and Canuto A Feature selection in heterogeneous structure of ensembles Proceedings of the 2009 international joint conference on Neural Networks, (1491-1498)
  1342. Perez-Arriaga M and Caudell T A study of brain structure evolution in simple embodied neural agents using genetic algorithms and category theory Proceedings of the 2009 international joint conference on Neural Networks, (1442-1448)
  1343. de Oliveira D, Canuto A and de Souto M Use of multi-objective genetic algorithms to investigate the diversity/accuracy dilemma in heterogeneous ensembles Proceedings of the 2009 international joint conference on Neural Networks, (1238-1245)
  1344. Ferreira A and Ludermir T Genetic algorithm for reservoir computing optimization Proceedings of the 2009 international joint conference on Neural Networks, (531-535)
  1345. ACM
    Smith R and Jiang M MILCS in protein structure prediction with default hierarchies Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, (953-956)
  1346. ACM
    Zhang M, Zhao S and Wang X A novel sexual adaptive genetic algorithm based on two-step evolutionary scenario of baldwin effect and analysis of global convergence Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, (737-744)
  1347. ACM
    Wang H, Wu Z, Liu Y, Wang J, Jiang D and Chen L Space transformation search Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, (537-544)
  1348. ACM
    Hu Q, Xu L and Goodman E Non-even spread NSGA-II and its application to conflicting multi-objective compatible control Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, (223-230)
  1349. ACM
    Fan Q, Wang P and Huang J The effect of crossover on evolution ability of population Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, (113-118)
  1350. ACM
    Becker Y and O'Reilly U Genetic programming for quantitative stock selection Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, (9-16)
  1351. ACM
    Agrawal S, Bose S and Sundarrajan S Grouping genetic algorithm for solving the serverconsolidation problem with conflicts Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, (1-8)
  1352. Islam M, Sattar M, Amin M, Yao X and Murase K (2009). A new adaptive merging and growing algorithm for designing artificial neural networks, IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 39:3, (705-722), Online publication date: 1-Jun-2009.
  1353. Repoussis P, Tarantilis C and Ioannou G (2009). Arc-guided evolutionary algorithm for the vehicle routing problem with time windows, IEEE Transactions on Evolutionary Computation, 13:3, (624-647), Online publication date: 1-Jun-2009.
  1354. Das S, Abraham A, Chakraborty U and Konar A (2009). Differential evolution using a neighborhood-based mutation operator, IEEE Transactions on Evolutionary Computation, 13:3, (526-553), Online publication date: 1-Jun-2009.
  1355. Wilson D and Kaur D (2009). Search, neutral evolution, and mapping in evolutionary computing, IEEE Transactions on Evolutionary Computation, 13:3, (566-590), Online publication date: 1-Jun-2009.
  1356. Martínez R, Castillo O and Aguilar L (2009). Optimization of interval type-2 fuzzy logic controllers for a perturbed autonomous wheeled mobile robot using genetic algorithms, Information Sciences: an International Journal, 179:13, (2158-2174), Online publication date: 1-Jun-2009.
  1357. Tamayo S, Monteiro T and Sauer N (2009). Deliveries optimization by exploiting production traceability information, Engineering Applications of Artificial Intelligence, 22:4-5, (557-568), Online publication date: 1-Jun-2009.
  1358. Colak Altunc A and Keha A (2009). Interval-indexed formulation based heuristics for single machine total weighted tardiness problem, Computers and Operations Research, 36:6, (2122-2131), Online publication date: 1-Jun-2009.
  1359. Yardimci A (2009). Soft computing in medicine, Applied Soft Computing, 9:3, (1029-1043), Online publication date: 1-Jun-2009.
  1360. Rimcharoen S, Sutivong D and Chongstitvatana P (2009). Real options approach to evaluating genetic algorithms, Applied Soft Computing, 9:3, (896-905), Online publication date: 1-Jun-2009.
  1361. Bianchi L, Dorigo M, Gambardella L and Gutjahr W (2009). A survey on metaheuristics for stochastic combinatorial optimization, Natural Computing: an international journal, 8:2, (239-287), Online publication date: 1-Jun-2009.
  1362. Bornhofen S and Lattaud C (2009). Competition and evolution in virtual plant communities, Natural Computing: an international journal, 8:2, (349-385), Online publication date: 1-Jun-2009.
  1363. Kasabov N (2009). Integrative connectionist learning systems inspired by nature, Natural Computing: an international journal, 8:2, (199-218), Online publication date: 1-Jun-2009.
  1364. Gepp A and Stocks P (2009). A review of procedures to evolve quantum algorithms, Genetic Programming and Evolvable Machines, 10:2, (181-228), Online publication date: 1-Jun-2009.
  1365. Khor S Exploring the influence of problem structural characteristics on evolutionary algorithm performance Proceedings of the Eleventh conference on Congress on Evolutionary Computation, (3345-3352)
  1366. Bruneau P, Picarougne F and Gelgon M Incremental semi-supervised clustering in a data stream with a flock of agents Proceedings of the Eleventh conference on Congress on Evolutionary Computation, (3067-3074)
  1367. Golzari S, Doraisamy S, Sulaiman M and Udzir N Improving the accuracy of AIRS by incorporating real world tournament selection in resource competition phase Proceedings of the Eleventh conference on Congress on Evolutionary Computation, (3040-3044)
  1368. Peniak M, Marocco D and Cangelosi A Co-evolving controller and sensing abilities in a simulated Mars rover explorer Proceedings of the Eleventh conference on Congress on Evolutionary Computation, (2772-2779)
  1369. Santini C, Tufte G and Haddow P Bio-inspired reverse engineering of regulatory networks Proceedings of the Eleventh conference on Congress on Evolutionary Computation, (2716-2723)
  1370. Yu T and Wilkinson D Coevolution of simulator proxies and sampling strategies for petroleum reservoir modeling Proceedings of the Eleventh conference on Congress on Evolutionary Computation, (2677-2684)
  1371. Poladian L Improving the success of recombination by varying broodsize and sibling rivalry Proceedings of the Eleventh conference on Congress on Evolutionary Computation, (2439-2445)
  1372. Stan-Bishop C, Barone L and White R Visualisation of building blocks in evolutionary algorithms Proceedings of the Eleventh conference on Congress on Evolutionary Computation, (2431-2438)
  1373. Nakano Y and Takagi H Influence of fitness quantization noise on the performance of interactive PSO Proceedings of the Eleventh conference on Congress on Evolutionary Computation, (2416-2422)
  1374. Das S, Chowdhury A and Abraham A A bacterial evolutionary algorithm for automatic data clustering Proceedings of the Eleventh conference on Congress on Evolutionary Computation, (2403-2410)
  1375. Decraene J, Mitchell G and McMullin B Crosstalk and the cooperation of collectively autocatalytic reaction networks Proceedings of the Eleventh conference on Congress on Evolutionary Computation, (2249-2256)
  1376. Eberbach E and Burgin M Evolutionary automata as foundation of evolutionary computation Proceedings of the Eleventh conference on Congress on Evolutionary Computation, (2149-2156)
  1377. Parker G and Zbeda R Learning area coverage for a self-sufficient colony robot Proceedings of the Eleventh conference on Congress on Evolutionary Computation, (2083-2090)
  1378. HajAbedi Z A real-coded genetic algorithm for constructive induction Proceedings of the Eleventh conference on Congress on Evolutionary Computation, (2036-2042)
  1379. Lin Y and Zhang J An isoline genetic algorithm Proceedings of the Eleventh conference on Congress on Evolutionary Computation, (2002-2007)
  1380. Hu X and Di Paolo E A ripple-spreading genetic algorithm for the airport gate assignment problem Proceedings of the Eleventh conference on Congress on Evolutionary Computation, (1857-1864)
  1381. Cattral R, Oppacher F and Graham K Techniques for evolutionary rule discovery in data mining Proceedings of the Eleventh conference on Congress on Evolutionary Computation, (1737-1744)
  1382. Hu X, Leeson M and Hines E An effective genetic algorithm for the network coding problem Proceedings of the Eleventh conference on Congress on Evolutionary Computation, (1714-1720)
  1383. Sato Y Viral infection + tropism for improving small population performance under noisy environment Proceedings of the Eleventh conference on Congress on Evolutionary Computation, (1507-1514)
  1384. Obermaier C and Wagner M Towards an evolved lower bound for the most circular partition of a square Proceedings of the Eleventh conference on Congress on Evolutionary Computation, (1463-1469)
  1385. Afshar M and Rohani M Optimal operation of pipeline systems using genetic algorithm Proceedings of the Eleventh conference on Congress on Evolutionary Computation, (1399-1405)
  1386. Benítez C and Lopes H A parallel genetic algorithm for protein folding prediction using the 3D-HP side chain model Proceedings of the Eleventh conference on Congress on Evolutionary Computation, (1297-1304)
  1387. Cabello J, Cejudo J, Luque M, Ruiz F, Deb K and Tewari R Optimization of the sizing of a solar thermal electricity plant Proceedings of the Eleventh conference on Congress on Evolutionary Computation, (1193-1200)
  1388. Roy G, Lee H, Welch J, Zhao Y, Pandey V and Thurston D A distributed pool architecture for genetic algorithms Proceedings of the Eleventh conference on Congress on Evolutionary Computation, (1177-1184)
  1389. Chen K, Lindsay P, Robinson P and Abbass H A hierarchical conflict resolution method for multi-agent path planning Proceedings of the Eleventh conference on Congress on Evolutionary Computation, (1169-1176)
  1390. De Oliveira D, Canuto A and De Souto M The diversity/accuracy dilemma Proceedings of the Eleventh conference on Congress on Evolutionary Computation, (939-946)
  1391. Santos J, Oliveira D, Wanner E, Carrano E, Takahashi R, Silva E and Neto O Designing a multilayer microwave heating device using a multiobjective genetic algorithm Proceedings of the Eleventh conference on Congress on Evolutionary Computation, (911-917)
  1392. Fonseca L, Barbosa H and Lemonge A A similarity-based surrogate model for expensive evolutionary optimization with fixed budget of simulations Proceedings of the Eleventh conference on Congress on Evolutionary Computation, (867-874)
  1393. Ye F, Mabu S, Wang L, Eto S and Hirasawa K Genetic network programming with reconstructed individuals Proceedings of the Eleventh conference on Congress on Evolutionary Computation, (854-859)
  1394. Tooyama S and Hasegawa H Adaptive plan system with genetic algorithm using the variable neighborhood range control Proceedings of the Eleventh conference on Congress on Evolutionary Computation, (846-853)
  1395. Takano K and Hagiwara M An integrated framework of hybrid evolutionary computations Proceedings of the Eleventh conference on Congress on Evolutionary Computation, (838-845)
  1396. Mantere T Image ordering by cellular genetic algorithms with TSP and ICA Proceedings of the Eleventh conference on Congress on Evolutionary Computation, (822-829)
  1397. Jeong S, Hasegawa S, Shimoyama K and Obayashi S Development and investigation of efficient GA/PSO-hybrid algorithm applicable to real-world design optimization Proceedings of the Eleventh conference on Congress on Evolutionary Computation, (777-784)
  1398. Hung W, Hong W and Chen T Application of hybrid genetic algorithm and simulated annealing in a SVR traffic flow forecasting model Proceedings of the Eleventh conference on Congress on Evolutionary Computation, (728-735)
  1399. Small R and Congdon C Agent Smith Proceedings of the Eleventh conference on Congress on Evolutionary Computation, (660-666)
  1400. Gibson S, Solomon C, Maylin M and Clark C (2009). New methodology in facial composite construction: from theory to practice, International Journal of Electronic Security and Digital Forensics, 2:2, (156-168), Online publication date: 1-May-2009.
  1401. Chen J, Xin B, Peng Z, Dou L and Zhang J (2009). Optimal contraction theorem for exploration-exploitation tradeoff in search and optimization, IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans, 39:3, (680-691), Online publication date: 1-May-2009.
  1402. Das S, Dasgupta S, Biswas A, Abraham A and Konar A (2009). On stability of the chemotactic dynamics in bacterial-foraging optimization algorithm, IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans, 39:3, (670-679), Online publication date: 1-May-2009.
  1403. Ibáñez O, Barreira N, Santos J and Penedo M (2009). Genetic approaches for topological active nets optimization, Pattern Recognition, 42:5, (907-917), Online publication date: 1-May-2009.
  1404. Lorenzetti C and Maguitman A (2009). A semi-supervised incremental algorithm to automatically formulate topical queries, Information Sciences: an International Journal, 179:12, (1881-1892), Online publication date: 1-May-2009.
  1405. Lau H, Tang C, Ho G and Chan T (2009). A fuzzy genetic algorithm for the discovery of process parameter settings using knowledge representation, Expert Systems with Applications: An International Journal, 36:4, (7964-7974), Online publication date: 1-May-2009.
  1406. Pan A, Leung S, Moon K and Yeung K (2009). Optimal reorder decision-making in the agent-based apparel supply chain, Expert Systems with Applications: An International Journal, 36:4, (8571-8581), Online publication date: 1-May-2009.
  1407. Lau H, Chan T, Tsui W, Chan F, Ho G and Choy K (2009). A fuzzy guided multi-objective evolutionary algorithm model for solving transportation problem, Expert Systems with Applications: An International Journal, 36:4, (8255-8268), Online publication date: 1-May-2009.
  1408. ACM
    Zhong Y, Jian L and Zijun W (2009). An integrated optimization algorithm of GA and ACA-based approaches for modeling virtual enterprise partner selection, ACM SIGMIS Database: the DATABASE for Advances in Information Systems, 40:2, (37-56), Online publication date: 30-Apr-2009.
  1409. Álvarez V, Frau M and Osuna A A heuristic procedure with guided reproduction for constructing cocyclic Hadamard matrices Proceedings of the 9th international conference on Adaptive and natural computing algorithms, (150-160)
  1410. de Castro P and Von Zuben F (2009). BAIS, Information Sciences: an International Journal, 179:10, (1426-1440), Online publication date: 20-Apr-2009.
  1411. Kaya I (2009). A genetic algorithm approach to determine the sample size for attribute control charts, Information Sciences: an International Journal, 179:10, (1552-1566), Online publication date: 20-Apr-2009.
  1412. Xie X and Liu J (2009). Multiagent optimization system for solving the traveling salesman problem (TSP), IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 39:2, (489-502), Online publication date: 1-Apr-2009.
  1413. Sun K, Lin Y, Wu C and Huang Y (2009). An application of the genetic programming technique to strategy development, Expert Systems with Applications: An International Journal, 36:3, (5157-5161), Online publication date: 1-Apr-2009.
  1414. Lau H, Chan T, Tsui W, Ho G and Choy K (2009). An AI approach for optimizing multi-pallet loading operations, Expert Systems with Applications: An International Journal, 36:3, (4296-4312), Online publication date: 1-Apr-2009.
  1415. Shih M, Huang B, Chiu N, Chiu C and Hu W (2009). Farm price prediction using case-based reasoning approach-A case of broiler industry in Taiwan, Computers and Electronics in Agriculture, 66:1, (70-75), Online publication date: 1-Apr-2009.
  1416. Beddoe G, Petrovic S and Li J (2009). A hybrid metaheuristic case-based reasoning system for nurse rostering, Journal of Scheduling, 12:2, (99-119), Online publication date: 1-Apr-2009.
  1417. Zhang J, Zhuang J, Du H and Wang S (2009). Self-organizing genetic algorithm based tuning of PID controllers, Information Sciences: an International Journal, 179:7, (1007-1018), Online publication date: 10-Mar-2009.
  1418. Ettaouil M and Ghanou Y (2009). Neural architectures optimization and genetic algorithms, WSEAS Transactions on Computers, 8:3, (526-537), Online publication date: 1-Mar-2009.
  1419. AL-Madi N and Khader A (2009). A genetic algorithm that simulates social behaviour, International Journal of Internet Technology and Secured Transactions, 1:3/4, (228-235), Online publication date: 1-Mar-2009.
  1420. Chung S, Lau H and Chan F (2009). A multi-criterion approach for order distribution in supply chain management, International Journal of Intelligent Systems Technologies and Applications, 6:3/4, (323-331), Online publication date: 1-Mar-2009.
  1421. Cruz C, Bastos-Filho T, Patino H and Carelli R (2009). Evolving hardware using a new evolutionary algorithm based on evolution of a species, International Journal of Bio-Inspired Computation, 1:3, (164-176), Online publication date: 1-Mar-2009.
  1422. Akerkar R and Sajja P (2009). Bio-inspired computing: constituents and challenges, International Journal of Bio-Inspired Computation, 1:3, (135-150), Online publication date: 1-Mar-2009.
  1423. Zhang Y, Ni Q and Chen H (2009). A new partial transmit sequence scheme using genetic algorithm for peak-to-average power ratio reduction in a multi-carrier code division multiple access wireless system, International Journal of Autonomous and Adaptive Communications Systems, 2:1, (40-57), Online publication date: 1-Mar-2009.
  1424. Hruschka E, Campello R, Freitas A and De Carvalho A (2009). A survey of evolutionary algorithms for clustering, IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 39:2, (133-155), Online publication date: 1-Mar-2009.
  1425. Chattopadhyay S, Pratihar D and De Sarkar S (2009). Fuzzy-logic-based screening and prediction of adult psychoses, IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans, 39:2, (381-387), Online publication date: 1-Mar-2009.
  1426. Khorram E and Zarei H (2009). Multi-objective optimization problems with Fuzzy relation equation constraints regarding max-average composition, Mathematical and Computer Modelling: An International Journal, 49:5-6, (856-867), Online publication date: 1-Mar-2009.
  1427. Chou F (2009). An experienced learning genetic algorithm to solve the single machine total weighted tardiness scheduling problem, Expert Systems with Applications: An International Journal, 36:2, (3857-3865), Online publication date: 1-Mar-2009.
  1428. Chen T and Tsao H (2009). Using a hybrid meta-evolutionary rule mining approach as a classification response model, Expert Systems with Applications: An International Journal, 36:2, (1999-2007), Online publication date: 1-Mar-2009.
  1429. Yuen C, Wong W, Qian S, Chan L and Fung E (2009). A hybrid model using genetic algorithm and neural network for classifying garment defects, Expert Systems with Applications: An International Journal, 36:2, (2037-2047), Online publication date: 1-Mar-2009.
  1430. Bull L and Lanzi P (2009). Introduction to the special issue on learning classifier systems, Natural Computing: an international journal, 8:1, (1-2), Online publication date: 1-Mar-2009.
  1431. Shafi K, Kovacs T, Abbass H and Zhu W (2009). Intrusion detection with evolutionary learning classifier systems, Natural Computing: an international journal, 8:1, (3-27), Online publication date: 1-Mar-2009.
  1432. Withall M, Hinde C and Stone R (2009). An improved representation for evolving programs, Genetic Programming and Evolvable Machines, 10:1, (37-70), Online publication date: 1-Mar-2009.
  1433. ACM
    Lee M, Lee Y, Meang B and Choi O A clustering algorithm using particle swarm optimization for DNA chip data analysis Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication, (664-668)
  1434. Huda S, Yearwood J and Togneri R (2009). A constraint-based evolutionary learning approach to the expectation maximization for optimal estimation of the hidden Markov model for speech signal modeling, IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 39:1, (182-197), Online publication date: 1-Feb-2009.
  1435. Choi S, Jung K and Moon B (2009). Lower and upper bounds for linkage discovery, IEEE Transactions on Evolutionary Computation, 13:2, (201-216), Online publication date: 1-Feb-2009.
  1436. Orriols-Puig A, Casillas J and Bernadó-Mansilla E (2009). Fuzzy-UCS, IEEE Transactions on Evolutionary Computation, 13:2, (260-283), Online publication date: 1-Feb-2009.
  1437. Martinez-Jaramillo S and Tsang E (2009). An heterogeneous, endogenous and coevolutionary GP-based financial market, IEEE Transactions on Evolutionary Computation, 13:1, (33-55), Online publication date: 1-Feb-2009.
  1438. Yuen S and Chow C (2009). A genetic algorithm that adaptively mutates and never revisits, IEEE Transactions on Evolutionary Computation, 13:2, (454-472), Online publication date: 1-Feb-2009.
  1439. Xu G and Yang W A Composite Model Based on Shape for Fast Image Matching Proceedings of the 2009 International Asia Conference on Informatics in Control, Automation and Robotics, (216-220)
  1440. Torres R, Falcão A, Gonçalves M, Papa J, Zhang B, Fan W and Fox E (2009). A genetic programming framework for content-based image retrieval, Pattern Recognition, 42:2, (283-292), Online publication date: 1-Feb-2009.
  1441. Wang X, Zheng B, Li S, Mulvihill J, Wood M and Liu H (2009). Automated classification of metaphase chromosomes, Journal of Biomedical Informatics, 42:1, (22-31), Online publication date: 1-Feb-2009.
  1442. Kherallah M, Bouri F and Alimi A (2009). On-line Arabic handwriting recognition system based on visual encoding and genetic algorithm, Engineering Applications of Artificial Intelligence, 22:1, (153-170), Online publication date: 1-Feb-2009.
  1443. Jungwattanakit J, Reodecha M, Chaovalitwongse P and Werner F (2009). A comparison of scheduling algorithms for flexible flow shop problems with unrelated parallel machines, setup times, and dual criteria, Computers and Operations Research, 36:2, (358-378), Online publication date: 1-Feb-2009.
  1444. Roy A, Maity K, kar S and Maiti M (2009). A production-inventory model with remanufacturing for defective and usable items in fuzzy-environment, Computers and Industrial Engineering, 56:1, (87-96), Online publication date: 1-Feb-2009.
  1445. ACM
    Sathya S and Jamal M Applying genetic algorithm to select an optimal cricket team Proceedings of the International Conference on Advances in Computing, Communication and Control, (43-47)
  1446. Urbanowicz R and Moore J (2009). Learning classifier systems, Journal of Artificial Evolution and Applications, 2009, (1-25), Online publication date: 1-Jan-2009.
  1447. Vanneschi L, Archetti F, Castelli M and Giordani I (2009). Classification of oncologic data with genetic programming, Journal of Artificial Evolution and Applications, 2009:S1, (1-13), Online publication date: 1-Jan-2009.
  1448. Talaslioglu T (2009). A new genetic algorithm methodology for design optimization of truss structures, Modelling and Simulation in Engineering, 2009, (1-28), Online publication date: 1-Jan-2009.
  1449. Üreten O and Tascioǧlu S (2009). Autocorrelation properties of OFDM timing synchronization waveforms employing pilot subcarriers, EURASIP Journal on Wireless Communications and Networking, 2009, (1-14), Online publication date: 1-Jan-2009.
  1450. Chen P, Chen C and Wang H (2009). A neural network, Applied Computational Intelligence and Soft Computing, 2009, (1-9), Online publication date: 1-Jan-2009.
  1451. Cona F, Zavaglia M, Astolfi L, Babiloni F and Ursino M (2009). Changes in EEG power spectral density and cortical connectivity in healthy and tetraplegic patients during amotor imagery task, Computational Intelligence and Neuroscience, 2009, (1-12), Online publication date: 1-Jan-2009.
  1452. Cheng S, Shiau D, Huang Y and Lin Y (2009). Dynamic hard-real-time scheduling using genetic algorithm for multiprocessor task with resource and timing constraints, Expert Systems with Applications: An International Journal, 36:1, (852-860), Online publication date: 1-Jan-2009.
  1453. Hu X and Di Paolo E (2009). An efficient genetic algorithm with uniform crossover for air traffic control, Computers and Operations Research, 36:1, (245-259), Online publication date: 1-Jan-2009.
  1454. Hong S and Kim Y (2009). A genetic algorithm for joint replenishment based on the exact inventory cost, Computers and Operations Research, 36:1, (167-175), Online publication date: 1-Jan-2009.
  1455. Das S and Konar A (2009). Automatic image pixel clustering with an improved differential evolution, Applied Soft Computing, 9:1, (226-236), Online publication date: 1-Jan-2009.
  1456. Li Z and Goodman E Exploring Building Blocks through Crossover Proceedings of the 3rd International Symposium on Advances in Computation and Intelligence, (707-714)
  1457. Chen Z, Kang L and Liu L Improved GuoTao Algorithm for Unconstrained Optimization Problems Proceedings of the 3rd International Symposium on Advances in Computation and Intelligence, (37-44)
  1458. Lemouzy S, Camps V and Glize P Towards a Self-Organising Mechanism for Learning Adaptive Decision-Making Rules Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03, (616-620)
  1459. ACM
    Mitchell B and Yilmaz L (2009). Symbiotic adaptive multisimulation, ACM Transactions on Modeling and Computer Simulation, 19:1, (1-31), Online publication date: 1-Dec-2008.
  1460. Niu B, Zhu Y, He X, Shen H and Wu Q (2008). A lifecycle model for simulating bacterial evolution, Neurocomputing, 72:1-3, (142-148), Online publication date: 1-Dec-2008.
  1461. Chakraborty U (2008). Editorial, Information Sciences: an International Journal, 178:23, (4419-4420), Online publication date: 1-Dec-2008.
  1462. Di Nitto E, Dubois D, Mirandola R, Saffre F and Tateson R Applying self-aggregation to load balancing Proceedings of the 3rd International Conference on Bio-Inspired Models of Network, Information and Computing Sytems, (1-8)
  1463. ACM
    Zhang S, Pu J, Zeng X, Liu Y and Xiong Z Issue and solution on coverage and performance for wireless sensor networks Proceedings of the 4th Asian Conference on Internet Engineering, (131-137)
  1464. Rongo R, Spataro W, D'Ambrosio D, Vittoria Avolio M, Trunfio G and Di Gregorio S (2008). Lava Flow Hazard Evaluation Through Cellular Automata and Genetic Algorithms: an Application to Mt Etna Volcano, Fundamenta Informaticae, 87:2, (247-267), Online publication date: 15-Nov-2008.
  1465. Bandini S, Vanneschi L, Wuensche A and Shehata A (2008). A Neuro-Genetic Framework for Pattern Recognition in Complex Systems, Fundamenta Informaticae, 87:2, (207-226), Online publication date: 15-Nov-2008.
  1466. Oonsivilai A and Oonsivilai R (2008). Parameter estimation of frequency response twin-screw food extrusion process using genetic algorithms, WSEAS TRANSACTIONS on SYSTEMS, 7:11, (1207-1217), Online publication date: 1-Nov-2008.
  1467. Mellit A (2008). Artificial Intelligence technique for modelling and forecasting of solar radiation data: a review, International Journal of Artificial Intelligence and Soft Computing, 1:1, (52-76), Online publication date: 1-Nov-2008.
  1468. Choi J, Oh S and Pedrycz W (2008). Structural and parametric design of fuzzy inference systems using hierarchical fair competition-based parallel genetic algorithms and information granulation, International Journal of Approximate Reasoning, 49:3, (631-648), Online publication date: 1-Nov-2008.
  1469. ACM
    Riid A and Rüstern E Fed-batch fermentation controller design with evolutionary computation Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology, (371-377)
  1470. Papazoglou P, Karras D and Papademetriou R A critical overview on the recent advances in channel allocation strategies for voice and multimedia services in wireless communication systems and the applicability of computational intelligence techniques Proceedings of the 10th WSEAS international conference on Mathematical methods, computational techniques and intelligent systems, (314-320)
  1471. Papazoglou P, Karras D and Papademetriou R On integrated ant colony optimization strategies for improved channel allocation in large scale wireless communications Proceedings of the 10th WSEAS international conference on Mathematical methods, computational techniques and intelligent systems, (300-306)
  1472. Sun Y, Sisomphon P, Babovic V and Chan E Enhancing tidal prediction accuracy in Singapore regional model using local model approach Proceedings of the 10th WSEAS international conference on Mathematical methods, computational techniques and intelligent systems, (165-170)
  1473. ACM
    Manzato M and Goularte R Video news classification for automatic content personalization Proceedings of the 14th Brazilian Symposium on Multimedia and the Web, (36-43)
  1474. Miorandi D and Yamamoto L Evolutionary and embryogenic approaches to autonomic systems Proceedings of the 3rd International Conference on Performance Evaluation Methodologies and Tools, (1-12)
  1475. Roughan M and Zhang Y GATEway Proceedings of the 3rd International Conference on Performance Evaluation Methodologies and Tools, (1-10)
  1476. Pérez J, Miguélez M, Rabuñal J and Martínez Abella F Applying Genetic Programming to Civil Engineering in the Improvement of Models, Codes and Norms Advances in Artificial Intelligence – IBERAMIA 2008, (452-460)
  1477. ACM
    Raghavjee R and Pillay N An application of genetic algorithms to the school timetabling problem Proceedings of the 2008 annual research conference of the South African Institute of Computer Scientists and Information Technologists on IT research in developing countries: riding the wave of technology, (193-199)
  1478. Andresen M, BräSel H, MöRig M, Tusch J, Werner F and Willenius P (2008). Simulated annealing and genetic algorithms for minimizing mean flow time in an open shop, Mathematical and Computer Modelling: An International Journal, 48:7-8, (1279-1293), Online publication date: 1-Oct-2008.
  1479. Chen S and Huang C (2008). A new approach to generate weighted fuzzy rules using genetic algorithms for estimating null values, Expert Systems with Applications: An International Journal, 35:3, (905-917), Online publication date: 1-Oct-2008.
  1480. Wen Zhang , Junwei Cao , Yisheng Zhong , Lianchen Liu and Cheng Wu An integrated resource management and scheduling system for grid data streaming applications Proceedings of the 2008 9th IEEE/ACM International Conference on Grid Computing, (258-265)
  1481. Slušný S, Neruda R and Vidnerová P Rule-Based Analysis of Behaviour Learned by Evolutionary and Reinforcement Algorithms Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence, (284-291)
  1482. Le M and Ong Y A Frequent Pattern Mining Algorithm for Understanding Genetic Algorithms Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence, (131-139)
  1483. Menolascina F, Bevilacqua V, Ciminelli C, Armenise M and Mastronardi G A Multi-objective Genetic Algorithm Based Approach to the Optimization of Oligonucleotide Microarray Production Process Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence, (1039-1046)
  1484. Neubauer A Intrinsic System Model of the Genetic Algorithm with α-Selection Proceedings of the 10th International Conference on Parallel Problem Solving from Nature --- PPSN X - Volume 5199, (940-949)
  1485. Goes V, Shir O and Bäck T Niche Radius Adaptation with Asymmetric Sharing Proceedings of the 10th International Conference on Parallel Problem Solving from Nature --- PPSN X - Volume 5199, (195-204)
  1486. Duque T, Goldberg D and Sastry K Enhancing the Efficiency of the ECGA Proceedings of the 10th International Conference on Parallel Problem Solving from Nature --- PPSN X - Volume 5199, (165-174)
  1487. Mattiussi C, Marbach D, Dürr P and Floreano D (2008). The Age of Analog Networks, AI Magazine, 29:3, (63-76), Online publication date: 1-Sep-2008.
  1488. Phan T and Li W (2008). A request-routing framework for SOA-based enterprise computing, Proceedings of the VLDB Endowment, 1:1, (996-1007), Online publication date: 1-Aug-2008.
  1489. Borisovsky P and Eremeev A (2008). Comparing evolutionary algorithms to the (1+1) -EA, Theoretical Computer Science, 403:1, (33-41), Online publication date: 1-Aug-2008.
  1490. Timmis J, Hone A, Stibor T and Clark E (2008). Theoretical advances in artificial immune systems, Theoretical Computer Science, 403:1, (11-32), Online publication date: 1-Aug-2008.
  1491. Arcuri A and Yao X (2008). Search based software testing of object-oriented containers, Information Sciences: an International Journal, 178:15, (3075-3095), Online publication date: 1-Aug-2008.
  1492. Park B, Pedrycz W and Oh S (2008). An approach to fuzzy granule-based hierarchical polynomial networks for empirical data modeling in software engineering, Information and Software Technology, 50:9-10, (912-923), Online publication date: 1-Aug-2008.
  1493. ACM
    Lv B, Xu O and Jian S Novel method of chirped fiber Bragg grating optimization for 40Gbps optical transmission Proceedings of the 2008 International Conference on Advanced Infocomm Technology, (1-4)
  1494. Al-Rawi M, El-Latif Abu-Dalhoum A, Salah Y, Al-Mobaideen W and Khoury A A new color transformation for JPEG-2000 image compression Proceedings of the 12th WSEAS international conference on Computers, (159-162)
  1495. Yoshikawa M and Terai H Genetic-based machine learning using hardware accelerator Proceedings of the 12th WSEAS international conference on Circuits, (284-289)
  1496. ACM
    Zhang K, Sun S and Si H Prediction of retention times for a large set of pesticides based on improved gene expression programming Proceedings of the 10th annual conference on Genetic and evolutionary computation, (1725-1726)
  1497. ACM
    Oliwa T Genetic algorithms and the abc music notation language for rock music composition Proceedings of the 10th annual conference on Genetic and evolutionary computation, (1603-1610)
  1498. ACM
    Leigh R, Schonfeld J and Louis S Using coevolution to understand and validate game balance in continuous games Proceedings of the 10th annual conference on Genetic and evolutionary computation, (1563-1570)
  1499. ACM
    Abraham A, Biswas A, Das S and Dasgupta S Design of fractional order PIλDμ controllers with an improved differential evolution Proceedings of the 10th annual conference on Genetic and evolutionary computation, (1445-1452)
  1500. ACM
    Howard G, Bull L and Lanzi P Self-adaptive constructivism in Neural XCS and XCSF Proceedings of the 10th annual conference on Genetic and evolutionary computation, (1389-1396)
  1501. ACM
    Augusto D, Barbosa H and Ebecken N Coevolution of data samples and classifiers integrated with grammatically-based genetic programming for data classification Proceedings of the 10th annual conference on Genetic and evolutionary computation, (1171-1178)
  1502. ACM
    Le M, Ong Y and Nguyen Q Optinformatics for schema analysis of binary genetic algorithms Proceedings of the 10th annual conference on Genetic and evolutionary computation, (1121-1122)
  1503. ACM
    LaTorre A, Peña J, Robles V and Muelas S Using multiple offspring sampling to guide genetic algorithms to solve permutation problems Proceedings of the 10th annual conference on Genetic and evolutionary computation, (1119-1120)
  1504. ACM
    Bergmann K, Scheidler R and Jacob C Cryptanalysis using genetic algorithms Proceedings of the 10th annual conference on Genetic and evolutionary computation, (1099-1100)
  1505. ACM
    Stonedahl F, Rand W and Wilensky U CrossNet Proceedings of the 10th annual conference on Genetic and evolutionary computation, (1057-1064)
  1506. ACM
    Pelikan M Analysis of estimation of distribution algorithms and genetic algorithms on NK landscapes Proceedings of the 10th annual conference on Genetic and evolutionary computation, (1033-1040)
  1507. ACM
    Neubauer A Theory of the simple genetic algorithm with α-selection Proceedings of the 10th annual conference on Genetic and evolutionary computation, (1009-1016)
  1508. ACM
    Liou J and Chen Y Adaptive discretization on multidimensional continuous search spaces Proceedings of the 10th annual conference on Genetic and evolutionary computation, (977-984)
  1509. ACM
    Weise T, Niemczyk S, Skubch H, Reichle R and Geihs K A tunable model for multi-objective, epistatic, rugged, and neutral fitness landscapes Proceedings of the 10th annual conference on Genetic and evolutionary computation, (795-802)
  1510. ACM
    Tiwari S, Koch P, Fadel G and Deb K AMGA Proceedings of the 10th annual conference on Genetic and evolutionary computation, (729-736)
  1511. ACM
    Terashima-Marín H, Ortiz-Bayliss J, Ross P and Valenzuela-Rendón M Hyper-heuristics for the dynamic variable ordering in constraint satisfaction problems Proceedings of the 10th annual conference on Genetic and evolutionary computation, (571-578)
  1512. ACM
    Doerr B, Happ E and Klein C Crossover can provably be useful in evolutionary computation Proceedings of the 10th annual conference on Genetic and evolutionary computation, (539-546)
  1513. ACM
    Caamano P, Bellas F, Becerra J and Duro R Application domain study of evolutionary algorithms in optimization problems Proceedings of the 10th annual conference on Genetic and evolutionary computation, (495-502)
  1514. ACM
    Pelikan M, Helmut K and Kobe S Finding ground states of Sherrington-Kirkpatrick spin glasses with hierarchical boa and genetic algorithms Proceedings of the 10th annual conference on Genetic and evolutionary computation, (447-454)
  1515. ACM
    Gámez J, Mateo J and Puerta J Improved EDNA (estimation of dependency networks algorithm) using combining function with bivariate probability distributions Proceedings of the 10th annual conference on Genetic and evolutionary computation, (407-414)
  1516. ACM
    Chuang C and Chen Y On the effectiveness of distributions estimated by probabilistic model building Proceedings of the 10th annual conference on Genetic and evolutionary computation, (391-398)
  1517. ACM
    Clayton T, Patel L, Leng G, Murray A and Lindsay I Rapid evaluation and evolution of neural models using graphics card hardware Proceedings of the 10th annual conference on Genetic and evolutionary computation, (299-306)
  1518. ACM
    Bornhofen S and Lattaud C On hopeful monsters, neutral networks and junk code in evolving L-systems Proceedings of the 10th annual conference on Genetic and evolutionary computation, (193-200)
  1519. ACM
    Butz M Learning classifier systems Proceedings of the 10th annual conference companion on Genetic and evolutionary computation, (2367-2388)
  1520. ACM
    Paul T, Ueno K, Iwata K, Hayashi T and Honda N Risk prediction and risk factors identification from imbalanced data with RPMBGA+ Proceedings of the 10th annual conference companion on Genetic and evolutionary computation, (2193-2198)
  1521. ACM
    Iclanzan D and Dumitrescu D Towards memoryless model building Proceedings of the 10th annual conference companion on Genetic and evolutionary computation, (2147-2152)
  1522. ACM
    Fries T A fuzzy-genetic approach to network intrusion detection Proceedings of the 10th annual conference companion on Genetic and evolutionary computation, (2141-2146)
  1523. ACM
    Vallim R, Goldberg D, Llorà X, Duque T and Carvalho A A new approach for multi-label classification based on default hierarchies and organizational learning Proceedings of the 10th annual conference companion on Genetic and evolutionary computation, (2017-2022)
  1524. ACM
    Howard G and Bull L On the effects of node duplication and connection-oriented constructivism in neural XCSF Proceedings of the 10th annual conference companion on Genetic and evolutionary computation, (1977-1984)
  1525. Keeler M and Majumdar A Revelator's Complex Adaptive Reasoning Methodology for Resource Infrastructure Evolution Proceedings of the 16th international conference on Conceptual Structures: Knowledge Visualization and Reasoning, (88-103)
  1526. ACM
    Fernandes C (2008). A camera obscura for ants, ACM SIGEVOlution, 3:2, (9-16), Online publication date: 1-Jul-2008.
  1527. Gibbs M, Dandy G and Maier H (2008). A genetic algorithm calibration method based on convergence due to genetic drift, Information Sciences: an International Journal, 178:14, (2857-2869), Online publication date: 1-Jul-2008.
  1528. Ruta D Mixture of Gaussians Model for Robust Pedestrian Images Detection Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence, (713-717)
  1529. Belgasmi N, Ben Saïd L and Ghédira K Genetic Optimization of the Multi-Location Transshipment Problem with Limited Storage Capacity Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence, (563-567)
  1530. Tsai H, Chen T, Chen R and Chen J Genetic algorithm for the training time assignment problem of core laboratories Proceedings of the 9th WSEAS International Conference on International Conference on Automation and Information, (474-479)
  1531. Pérez-Agüera J, Zaragoza H and Araujo L Exploiting Morphological Query Structure Using Genetic Optimisation Proceedings of the 13th international conference on Natural Language and Information Systems: Applications of Natural Language to Information Systems, (124-135)
  1532. ACM
    Reinecke P and Wolter K Adaptivity metric and performance for restart strategies in web services reliable messaging Proceedings of the 7th international workshop on Software and performance, (201-212)
  1533. Roach C and Menezes R Handling Dynamic Networks Using Evolution in Ant-Colony Optimization Proceedings of the 21st international conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: New Frontiers in Applied Artificial Intelligence, (795-804)
  1534. Chou S and Chang W CyberIR --- A Technological Approach to Fight Cybercrime Proceedings of the IEEE ISI 2008 PAISI, PACCF, and SOCO international workshops on Intelligence and Security Informatics, (32-43)
  1535. ACM
    Guliashki V An accelerating technique for population based algorithms Proceedings of the 9th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing, (IIIB.11-1)
  1536. Fogel D The burden of proof Proceedings of the 2008 IEEE world conference on Computational intelligence: research frontiers, (201-231)
  1537. Yu C and Luo Y (2008). Analysis of decision-making behavior based on complex adaptive system, WSEAS TRANSACTIONS on SYSTEMS, 7:6, (717-726), Online publication date: 1-Jun-2008.
  1538. Lenat D (2008). The Voice of the Turtle, AI Magazine, 29:2, (11-22), Online publication date: 1-Jun-2008.
  1539. ACM
    Abbasi A, Chen H and Salem A (2008). Sentiment analysis in multiple languages, ACM Transactions on Information Systems, 26:3, (1-34), Online publication date: 1-Jun-2008.
  1540. Li J, Tang X, Liu J, Huang J and Wang Y (2008). A novel approach to feature extraction from classification models based on information gene pairs, Pattern Recognition, 41:6, (1975-1984), Online publication date: 1-Jun-2008.
  1541. Sabatier R and Reynès C (2008). Extensions of simple component analysis and simple linear discriminant analysis using genetic algorithms, Computational Statistics & Data Analysis, 52:10, (4779-4789), Online publication date: 1-Jun-2008.
  1542. ACM
    Huynh S, Cai Y, Song Y and Sullivan K Automatic modularity conformance checking Proceedings of the 30th international conference on Software engineering, (411-420)
  1543. Polvichai J, Scerri P and Lewis M An approach to online optimization of heuristic coordination algorithms Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2, (623-630)
  1544. Rongo R, Spataro W, D'Ambrosio D, Vittoria Avolio M, Trunfio G and Di Gregorio S (2008). Lava Flow Hazard Evaluation Through Cellular Automata and Genetic Algorithms: an Application to Mt Etna Volcano, Fundamenta Informaticae, 87:2, (247-267), Online publication date: 1-Apr-2008.
  1545. Bandini S, Vanneschi L, Wuensche A and Shehata A (2008). A Neuro-Genetic Framework for Pattern Recognition in Complex Systems, Fundamenta Informaticae, 87:2, (207-226), Online publication date: 1-Apr-2008.
  1546. Eastridge R and Schmidt C (2008). Solving n-queens with a genetic algorithm and its usefulness in a computational intelligence course, Journal of Computing Sciences in Colleges, 23:4, (223-230), Online publication date: 1-Apr-2008.
  1547. Saridakis K and Dentsoras A (2008). Soft computing in engineering design - A review, Advanced Engineering Informatics, 22:2, (202-221), Online publication date: 1-Apr-2008.
  1548. Katz G and Peled D Model checking-based genetic programming with an application to mutual exclusion Proceedings of the Theory and practice of software, 14th international conference on Tools and algorithms for the construction and analysis of systems, (141-156)
  1549. ACM
    Garrett A and Dozier G Training approaches in neural enhancement for multiobjective optimization Proceedings of the 46th annual ACM Southeast Conference, (51-56)
  1550. Valsecchi A and Vanneschi L A study of some implications of the no free lunch theorem Proceedings of the 2008 conference on Applications of evolutionary computing, (633-642)
  1551. Milani A, Leung C, Baioletti M and Suriani S An evolutionary algorithm for adaptive online services in dynamic environment Proceedings of the 2008 conference on Applications of evolutionary computing, (626-632)
  1552. Bianco S, Gasparini F, Schettini R and Vanneschi L An evolutionary framework for colorimetric characterization of scanners Proceedings of the 2008 conference on Applications of evolutionary computing, (245-254)
  1553. ACM
    Phan T and Li W Load distribution of analytical query workloads for database cluster architectures Proceedings of the 11th international conference on Extending database technology: Advances in database technology, (169-180)
  1554. ACM
    Ma Z and Krings A Dynamic populations in genetic algorithms Proceedings of the 2008 ACM symposium on Applied computing, (1807-1811)
  1555. ACM
    Toledo C, França P and Rosa K Evaluating genetic algorithms with different population structures on a lot sizing and scheduling problem Proceedings of the 2008 ACM symposium on Applied computing, (1777-1781)
  1556. ACM
    Wu W and Hsiao M Efficient design validation based on cultural algorithms Proceedings of the conference on Design, automation and test in Europe, (402-407)
  1557. Shabaka A and ElMaraghy H (2008). A model for generating optimal process plans in RMS, International Journal of Computer Integrated Manufacturing, 21:2, (180-194), Online publication date: 1-Mar-2008.
  1558. Vrajitoru D (2008). Natural selection and mating constraints with genetic algorithms, International Journal of Modelling and Simulation, 28:2, (188-194), Online publication date: 1-Mar-2008.
  1559. Abri M, Boukli-Hacene N and Bendimerad F (2008). Synthesis of ring printed antennas arrays, International Journal of Modelling and Simulation, 28:2, (174-181), Online publication date: 1-Mar-2008.
  1560. Zhao X (2008). Advances on protein folding simulations based on the lattice HP models with natural computing, Applied Soft Computing, 8:2, (1029-1040), Online publication date: 1-Mar-2008.
  1561. Pelikan M, Sastry K and Goldberg D (2008). Sporadic model building for efficiency enhancement of the hierarchical BOA, Genetic Programming and Evolvable Machines, 9:1, (53-84), Online publication date: 1-Mar-2008.
  1562. Sanchis J, Martínez M and Blasco X (2008). Integrated multiobjective optimization and a priori preferences using genetic algorithms, Information Sciences: an International Journal, 178:4, (931-951), Online publication date: 20-Feb-2008.
  1563. Cantos A and Santos M Learning parameters of a genetic algorithm applied to signal classification Proceedings of the 26th IASTED International Conference on Artificial Intelligence and Applications, (284-289)
  1564. Kazunori K, Masaaki I and Shozo M Consideration of the efficiency of Layered Server-Client topology for Parallel Distributed GA on large problem Proceedings of the 26th IASTED International Conference on Artificial Intelligence and Applications, (266-271)
  1565. Boulif M and Atif K (2008). A new fuzzy genetic algorithm for the dynamic bi-objective cell formation problem considering passive and active strategies, International Journal of Approximate Reasoning, 47:2, (141-165), Online publication date: 1-Feb-2008.
  1566. Shiau D, Cheng S and Huang Y (2008). Proportionate flexible flow shop scheduling via a hybrid constructive genetic algorithm, Expert Systems with Applications: An International Journal, 34:2, (1133-1143), Online publication date: 1-Feb-2008.
  1567. Liu J and Chang C (2008). Novel orthogonal momentum-type particle swarm optimization applied to solve large parameter optimization problems, Journal of Artificial Evolution and Applications, 2008:S1, (1-9), Online publication date: 1-Jan-2008.
  1568. Choi Y, Kim K and Kim N (2008). The displacement of base station in mobile communication with genetic approach, EURASIP Journal on Wireless Communications and Networking, 2008, (1-10), Online publication date: 1-Jan-2008.
  1569. Din D (2008). Genetic algorithm for finding minimal cost light forest of multicast routing on WDM networks, Journal of Artificial Evolution and Applications, 2008:R1, (1-20), Online publication date: 1-Jan-2008.
  1570. Le Rolle V, Hernández A, Richard P and Carrault G (2008). An autonomic nervous system model applied to the analysis of orthostatic tests, Modelling and Simulation in Engineering, 2008, (1-15), Online publication date: 1-Jan-2008.
  1571. Diosan L and Oltean M (2008). What else is the evolution of PSO telling us?, Journal of Artificial Evolution and Applications, 2008:S1, (1-12), Online publication date: 1-Jan-2008.
  1572. Dam H, Abbass H, Lokan C and Yao X (2008). Neural-Based Learning Classifier Systems, IEEE Transactions on Knowledge and Data Engineering, 20:1, (26-39), Online publication date: 1-Jan-2008.
  1573. Shehab M, Bertino E and Ghafoor A (2008). Watermarking Relational Databases Using Optimization-Based Techniques, IEEE Transactions on Knowledge and Data Engineering, 20:1, (116-129), Online publication date: 1-Jan-2008.
  1574. (Tony) Hou T, Su C and Chang H (2008). Using neural networks and immune algorithms to find the optimal parameters for an IC wire bonding process, Expert Systems with Applications: An International Journal, 34:1, (427-436), Online publication date: 1-Jan-2008.
  1575. Lee L, Wang L and Chen S (2008). Temperature prediction and TAIFEX forecasting based on high-order fuzzy logical relationships and genetic simulated annealing techniques, Expert Systems with Applications: An International Journal, 34:1, (328-336), Online publication date: 1-Jan-2008.
  1576. Massoudieh A, Mathew A and Ginn T (2008). Column and batch reactive transport experiment parameter estimation using a genetic algorithm, Computers & Geosciences, 34:1, (24-34), Online publication date: 1-Jan-2008.
  1577. Karaboga D and Basturk B (2008). On the performance of artificial bee colony (ABC) algorithm, Applied Soft Computing, 8:1, (687-697), Online publication date: 1-Jan-2008.
  1578. Fan Z, Wang J, Achiche S, Goodman E and Rosenberg R (2008). Structured synthesis of MEMS using evolutionary approaches, Applied Soft Computing, 8:1, (579-589), Online publication date: 1-Jan-2008.
  1579. Di Nuovo A, Catania V, Di Nuovo S and Buono S (2008). Short communication, Applied Soft Computing, 8:1, (829-837), Online publication date: 1-Jan-2008.
  1580. Nobakhti A and Wang H (2008). A simple self-adaptive Differential Evolution algorithm with application on the ALSTOM gasifier, Applied Soft Computing, 8:1, (350-370), Online publication date: 1-Jan-2008.
  1581. Jenkinson D and Trotman A Wikipedia Ad Hoc Passage Retrieval and Wikipedia Document Linking Focused Access to XML Documents, (426-439)
  1582. Pérez-Fructuoso M, García A, Berlanga A and Molina J Adjusting the generalized Pareto distribution with evolution strategies Proceedings of the 8th international conference on Intelligent data engineering and automated learning, (1010-1019)
  1583. Slušný S, Neruda R and Vidnerová P Behaviour patterns evolution on individual and group level Proceedings of the 6th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics, (23-28)
  1584. Kim J Permutation-based elitist genetic algorithm using serial scheme for large-sized resource-constrained project scheduling Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come, (2112-2118)
  1585. Ang A and Sivakumar A Online multiobjective single machine dynamic scheduling with sequence-dependent setups using simulation-based genetic algorithm with desirability function Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come, (1828-1834)
  1586. Chavoya A and Duthen Y An artificial development model for cell pattern generation Proceedings of the 3rd Australian conference on Progress in artificial life, (61-71)
  1587. Munteanu C and Rosa A Symmetry at the genotypic level and the simple inversion operator Proceedings of the aritficial intelligence 13th Portuguese conference on Progress in artificial intelligence, (209-222)
  1588. Cielecki Ł and Unold O (2007). Real-Valued GCS Classifier System, International Journal of Applied Mathematics and Computer Science, 17:4, (539-547), Online publication date: 1-Dec-2007.
  1589. Cen L (2007). Frequency response masking filter design using an oscillation search genetic algorithm, Signal Processing, 87:12, (3086-3095), Online publication date: 1-Dec-2007.
  1590. Bandyopadhyay S and Saha S (2007). GAPS, Pattern Recognition, 40:12, (3430-3451), Online publication date: 1-Dec-2007.
  1591. Huang X (2007). A new perspective for optimal portfolio selection with random fuzzy returns, Information Sciences: an International Journal, 177:23, (5404-5414), Online publication date: 1-Dec-2007.
  1592. Araujo L (2007). How evolutionary algorithms are applied to statistical natural language processing, Artificial Intelligence Review, 28:4, (275-303), Online publication date: 1-Dec-2007.
  1593. Su H and Yu S Hybrid GA based online support vector machine model for short-term traffic flow forecasting Proceedings of the 7th international conference on Advanced parallel processing technologies, (743-752)
  1594. Neruda R, Slušný S and Vidnerová P Evolution of simple behavior patterns for autonomous robotic agent Proceedings of the 6th WSEAS international conference on System science and simulation in engineering, (411-417)
  1595. ACM
    Tikir M, Carrington L, Strohmaier E and Snavely A A genetic algorithms approach to modeling the performance of memory-bound computations Proceedings of the 2007 ACM/IEEE conference on Supercomputing, (1-12)
  1596. Milidiú R, Duarte J and Nogueira dos Santos C TBL Template Selection: An Evolutionary Approach Current Topics in Artificial Intelligence, (180-189)
  1597. ACM
    Arcuri A and Yao X Coevolving programs and unit tests from their specification Proceedings of the 22nd IEEE/ACM International Conference on Automated Software Engineering, (397-400)
  1598. Mejía-Guevara I and Kuri-Morales Á Evolutionary feature and parameter selection in support vector regression Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence, (399-408)
  1599. Borji A A new global optimization algorithm inspired by parliamentary political competitions Proceedings of the artificial intelligence 6th Mexican international conference on Advances in artificial intelligence, (61-71)
  1600. Kim S, Lee S and Hahm J (2007). Push-Pull, IEEE Transactions on Parallel and Distributed Systems, 18:11, (1489-1502), Online publication date: 1-Nov-2007.
  1601. Elaoud S, Teghem J and Bouaziz B (2007). Genetic algorithms to solve the cover printing problem, Computers and Operations Research, 34:11, (3346-3361), Online publication date: 1-Nov-2007.
  1602. Ochoa G, Lutton E and Burke E The Cooperative Royal Road: Avoiding Hitchhiking Artificial Evolution, (184-195)
  1603. Pessan C, Bouquard J and Néron E Genetic Branch-and-Bound or Exact Genetic Algorithm? Artificial Evolution, (136-147)
  1604. Hoque M, Chetty M and Dooley L Generalized schemata theorem incorporating twin removal for protein structure prediction Proceedings of the 2nd IAPR international conference on Pattern recognition in bioinformatics, (84-97)
  1605. ACM
    Fang X, Sheng O and Chau M (2007). ServiceFinder, ACM Transactions on Information Systems, 25:4, (17-es), Online publication date: 1-Oct-2007.
  1606. Srinivasa K, Venugopal K and Patnaik L (2007). A self-adaptive migration model genetic algorithm for data mining applications, Information Sciences: an International Journal, 177:20, (4295-4313), Online publication date: 1-Oct-2007.
  1607. Lee L, Wang L and Chen S (2007). Temperature prediction and TAIFEX forecasting based on fuzzy logical relationships and genetic algorithms, Expert Systems with Applications: An International Journal, 33:3, (539-550), Online publication date: 1-Oct-2007.
  1608. Benkhelifa E, Pipe A, Nibouche M and Dragffy G Steps forward to evolve bio-inspired embryonic cell-based electronic systems Proceedings of the 7th international conference on Evolvable systems: from biology to hardware, (174-185)
  1609. Song J, Zhang H, Meng Q and Wang Z Cryptanalysis of two-round DES using genetic algorithms Proceedings of the 2nd international conference on Advances in computation and intelligence, (583-590)
  1610. Chen R, Hung P and Wu M Scheduling production using genetic algorithm for elastic knitted fabrics with wide ranges of quantities demanded Proceedings of the 7th WSEAS International Conference on Simulation, Modelling and Optimization, (182-187)
  1611. Iclănzan D The creativity potential within evolutionary algorithms Proceedings of the 9th European conference on Advances in artificial life, (845-854)
  1612. Fernández-Blanco E, Dorado J, Rabuñal J, Gestal M and Pedreira N A computational morphogenesis approach to simple structure development Proceedings of the 9th European conference on Advances in artificial life, (825-834)
  1613. Clune J, Ofria C and Pennock R Investigating the emergence of phenotypic plasticity in evolving digital organisms Proceedings of the 9th European conference on Advances in artificial life, (74-83)
  1614. Rocha L and Kaur J Genotype editing and the evolution of regulation and memory Proceedings of the 9th European conference on Advances in artificial life, (63-73)
  1615. Burgin M and Calude C (2007). Preface, Theoretical Computer Science, 383:2-3, (111-114), Online publication date: 3-Sep-2007.
  1616. Tsang C, Kwong S and Wang H (2007). Genetic-fuzzy rule mining approach and evaluation of feature selection techniques for anomaly intrusion detection, Pattern Recognition, 40:9, (2373-2391), Online publication date: 1-Sep-2007.
  1617. Shon T and Moon J (2007). A hybrid machine learning approach to network anomaly detection, Information Sciences: an International Journal, 177:18, (3799-3821), Online publication date: 1-Sep-2007.
  1618. Bueno R, Traina A and Traina C (2007). Genetic algorithms for approximate similarity queries, Data & Knowledge Engineering, 62:3, (459-482), Online publication date: 1-Sep-2007.
  1619. Banković Z, Stepanović D, Bojanić S and Nieto-Taladriz O (2007). Improving network security using genetic algorithm approach, Computers and Electrical Engineering, 33:5-6, (438-451), Online publication date: 1-Sep-2007.
  1620. Aslantas V, Ozer S and Ozturk S A novel clonal selection algorithm based fragile watermarking method Proceedings of the 6th international conference on Artificial immune systems, (358-369)
  1621. Voigt D, Wirth H and Dilger W A computational model for the cognitive immune system theory based on learning classifier systems Proceedings of the 6th international conference on Artificial immune systems, (264-275)
  1622. Kim D and Park J (2007). Application of adaptive control to the fluctuation of engine speed at idle, Information Sciences: an International Journal, 177:16, (3341-3355), Online publication date: 20-Aug-2007.
  1623. ACM
    Lipson H and Shpitalni M Optimization-based reconstruction of a 3D object from a single freehand line drawing ACM SIGGRAPH 2007 courses, (45-es)
  1624. Stella M, Dash P and Rout P (2007). Function based hybrid-fuzzy genetic controller for VSI based STATCOM, International Journal of Knowledge-based and Intelligent Engineering Systems, 11:3, (139-156), Online publication date: 1-Aug-2007.
  1625. Ranjbar M and Kianfar F (2007). Solving the discrete time/resource trade-off problem in project scheduling with genetic algorithms, Applied Mathematics and Computation, 191:2, (451-456), Online publication date: 1-Aug-2007.
  1626. ACM
    Harman M and McMinn P A theoretical & empirical analysis of evolutionary testing and hill climbing for structural test data generation Proceedings of the 2007 international symposium on Software testing and analysis, (73-83)
  1627. ACM
    Terashima-Marin H, Farias Zarate C, Ross P and Valenzuela-Rendon M Comparing two models to generate hyper-heuristics for the 2d-regular bin-packing problem Proceedings of the 9th annual conference on Genetic and evolutionary computation, (2182-2189)
  1628. ACM
    McCubbin C, Scheidt D, Bandte O, Marshall S and Trifonov I Using genetic algorithms for naval subsystem damage assessment and design improvements Proceedings of the 9th annual conference on Genetic and evolutionary computation, (2114-2121)
  1629. ACM
    Lee J, Choi S and Moon B An evolutionary keystroke authentication based on ellipsoidal hypothesis space Proceedings of the 9th annual conference on Genetic and evolutionary computation, (2090-2097)
  1630. ACM
    Hung P, Chen Y and Zan H Characteristic determination for solid state devices with evolutionary computation Proceedings of the 9th annual conference on Genetic and evolutionary computation, (2029-2036)
  1631. ACM
    Chen J Simultaneous optimization of production planning and inspection planning for flexible manufacturing systems Proceedings of the 9th annual conference on Genetic and evolutionary computation, (1928-1935)
  1632. ACM
    Tamee K, Bull L and Pinngern O Towards clustering with XCS Proceedings of the 9th annual conference on Genetic and evolutionary computation, (1854-1860)
  1633. ACM
    Orriols-Puig A, Sastry K, Lanzi P, Goldberg D and Bernadó-Mansilla E Modeling selection pressure in XCS for proportionate and tournament selection Proceedings of the 9th annual conference on Genetic and evolutionary computation, (1846-1853)
  1634. ACM
    Orriols-Puig A, Goldberg D, Sastry K and Bernadó-Mansilla E Modeling XCS in class imbalances Proceedings of the 9th annual conference on Genetic and evolutionary computation, (1838-1845)
  1635. ACM
    Smith M and Bull L Improving the human readability of features constructed by genetic programming Proceedings of the 9th annual conference on Genetic and evolutionary computation, (1694-1701)
  1636. ACM
    Halma A and Turk R Adaptive markov recombination Proceedings of the 9th annual conference on Genetic and evolutionary computation, (1516-1516)
  1637. ACM
    Graff M, Poli R and Moraglio A Linear selection Proceedings of the 9th annual conference on Genetic and evolutionary computation, (1513-1513)
  1638. ACM
    Watson R and Jansen T A building-block royal road where crossover is provably essential Proceedings of the 9th annual conference on Genetic and evolutionary computation, (1452-1459)
  1639. ACM
    Toledo-Suárez C, Valenzuela-Rendón M, Terashima-Marín H and Uresti-Charre E On the relativity in the assessment of blind optimization algorithms and the problem-algorithm coevolution Proceedings of the 9th annual conference on Genetic and evolutionary computation, (1436-1443)
  1640. ACM
    Sastry K and Goldberg D Let's get ready to rumble redux Proceedings of the 9th annual conference on Genetic and evolutionary computation, (1380-1387)
  1641. ACM
    Rohlfshagen P and Bullinaria J A genetic algorithm with exon shuffling crossover for hard bin packing problems Proceedings of the 9th annual conference on Genetic and evolutionary computation, (1365-1371)
  1642. ACM
    Rohlfshagen P and Bullinaria J ExGA II Proceedings of the 9th annual conference on Genetic and evolutionary computation, (1357-1364)
  1643. ACM
    Mills R and Watson R Variable discrimination of crossover versus mutation using parameterized modular structure Proceedings of the 9th annual conference on Genetic and evolutionary computation, (1312-1319)
  1644. ACM
    Li Z and Goodman E Learning building block structure from crossover failure Proceedings of the 9th annual conference on Genetic and evolutionary computation, (1280-1287)
  1645. ACM
    Iclanzan D and Dumitrescu D Overcoming hierarchical difficulty by hill-climbing the building block structure Proceedings of the 9th annual conference on Genetic and evolutionary computation, (1256-1263)
  1646. ACM
    Chen Y, Hu J, Hirasawa K and Yu S GARS Proceedings of the 9th annual conference on Genetic and evolutionary computation, (1173-1178)
  1647. ACM
    Yu T, Sastry K, Goldberg D and Pelikan M Population sizing for entropy-based model building in discrete estimation of distribution algorithms Proceedings of the 9th annual conference on Genetic and evolutionary computation, (601-608)
  1648. ACM
    Sastry K, Goldberg D and Llora X Towards billion-bit optimization via a parallel estimation of distribution algorithm Proceedings of the 9th annual conference on Genetic and evolutionary computation, (577-584)
  1649. ACM
    Pelikan M, Kalapala R and Hartmann A Hybrid evolutionary algorithms on minimum vertex cover for random graphs Proceedings of the 9th annual conference on Genetic and evolutionary computation, (547-554)
  1650. ACM
    Stone C, Toth R, Adamatzky A, Costello B and Bull L Towards the coevolution of cellular automata controllers for chemical computing with the B-Z reaction Proceedings of the 9th annual conference on Genetic and evolutionary computation, (472-478)
  1651. ACM
    Bull L and Uroukov I Initial results from the use of learning classifier systems to control in vitro neuronal networks Proceedings of the 9th annual conference on Genetic and evolutionary computation, (369-376)
  1652. ACM
    Brookes E and Demeler B Parsimonious regularization using genetic algorithms applied to the analysis of analytical ultracentrifugation experiments Proceedings of the 9th annual conference on Genetic and evolutionary computation, (361-368)
  1653. ACM
    Payne J and Eppstein M Takeover times on scale-free topologies Proceedings of the 9th annual conference on Genetic and evolutionary computation, (308-315)
  1654. ACM
    Khor S Hill climbing on discrete HIFF Proceedings of the 9th annual conference on Genetic and evolutionary computation, (277-284)
  1655. ACM
    Halavati R, Shouraki S, Heravi M and Jashmi B An artificial immune system with partially specified antibodies Proceedings of the 9th annual conference on Genetic and evolutionary computation, (57-62)
  1656. ACM
    Butz M Learning classifier systems Proceedings of the 9th annual conference companion on Genetic and evolutionary computation, (3035-3056)
  1657. ACM
    Diosan L and Oltean M Observing the swarm behaviour during its evolutionary design Proceedings of the 9th annual conference companion on Genetic and evolutionary computation, (2667-2674)
  1658. ACM
    Howard D, Tyrrell A and Cooper C Evolution of adult male oral tract shapes for close and open vowels Proceedings of the 9th annual conference companion on Genetic and evolutionary computation, (2751-2758)
  1659. ACM
    Harrison G and Worden E Genetically programmed learning classifier system description and results Proceedings of the 9th annual conference companion on Genetic and evolutionary computation, (2729-2736)
  1660. ACM
    Browne W and Ioannides C Investigating scaling of an abstracted LCS utilising ternary and s-expression alphabets Proceedings of the 9th annual conference companion on Genetic and evolutionary computation, (2759-2764)
  1661. ACM
    Smith R and Jiang M MILCS Proceedings of the 9th annual conference companion on Genetic and evolutionary computation, (2945-2952)
  1662. ACM
    Orriols-Puig A, Bernadó-Mansilla E, Sastry K and Goldberg D Substructrual surrogates for learning decomposable classification problems Proceedings of the 9th annual conference companion on Genetic and evolutionary computation, (2875-2882)
  1663. ACM
    Reis G and Vega F A novel approach to automatic music transcription using electronic synthesis and genetic algorithms Proceedings of the 9th annual conference companion on Genetic and evolutionary computation, (2915-2922)
  1664. ACM
    Yin Z, Brabazon A and O'Sullivan C Adaptive genetic programming for option pricing Proceedings of the 9th annual conference companion on Genetic and evolutionary computation, (2588-2594)
  1665. ACM
    Payne J and Eppstein M Using pair approximations to predict takeover dynamics in spatially structured populations Proceedings of the 9th annual conference companion on Genetic and evolutionary computation, (2557-2564)
  1666. ACM
    Khalifa Y, Khan B and Taha F Multi-objective optimization tool for a free structure analog circuits design using genetic algorithms and incorporating parasitics Proceedings of the 9th annual conference companion on Genetic and evolutionary computation, (2527-2534)
  1667. ACM
    Iclǎnzan D Crossover Proceedings of the 9th annual conference companion on Genetic and evolutionary computation, (2497-2502)
  1668. ACM
    Diosan L and Oltean M Evolving evolutionary algorithms using evolutionary algorithms Proceedings of the 9th annual conference companion on Genetic and evolutionary computation, (2442-2449)
  1669. ACM
    Bai Z and Lv Q A leader-based parallel cross entropy algorithm for MCP Proceedings of the 9th annual conference companion on Genetic and evolutionary computation, (2401-2406)
  1670. Liu Y Cancer Classification Based on Mass Spectrometry Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory, (596-603)
  1671. Gerace I, Mastroleo M, Milani A and Moraglia S An evolutionary approach to inverse gray level quantization Proceedings of the 9th international conference on Advances in visual information systems, (242-253)
  1672. Choudhury M, Jalan V, Sarkar S and Basu A Evolution, optimization, and language change Proceedings of Ninth Meeting of the ACL Special Interest Group in Computational Morphology and Phonology, (65-74)
  1673. Vien N, Viet N, Lee S and Chung T Heuristic search based exploration in reinforcement learning Proceedings of the 9th international work conference on Artificial neural networks, (110-118)
  1674. Gámez J, Mateo J and Puerta J EDNA Proceedings of the 2nd international work-conference on The Interplay Between Natural and Artificial Computation, Part I: Bio-inspired Modeling of Cognitive Tasks, (427-436)
  1675. Maeda Y and Li Q Fuzzy Adaptive Search Method for Parallel Genetic Algorithm Tuned by Evolution Degree Based on Diversity Measure Proceedings of the 12th international Fuzzy Systems Association world congress on Foundations of Fuzzy Logic and Soft Computing, (677-687)
  1676. Cheng J, Zhang L and Zhang B A theoretical framework of natural computing Proceedings of the joint 9th Asia-Pacific web and 8th international conference on web-age information management conference on Advances in data and web management, (452-462)
  1677. Tyugu E Algorithms and Architectures of Artificial Intelligence Proceedings of the 2007 conference on Algorithms and Architectures of Artificial Intelligence, (1-171)
  1678. Mahmood A, Sharmin S, Barua D and Islam M Graph Matching Recombination for Evolving Neural Networks Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks, (562-568)
  1679. Liang Y, Leung K and Xu Z Neural Network Training Using Genetic Algorithm with a Novel Binary Encoding Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks, (371-380)
  1680. Ohtsuka A, Tanii H, Kamiura N, Isokawa T and Matsui N (2007). Self-Organizing Map Based Data Detection of Hematopoietic Tumors, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, E90-A:6, (1170-1179), Online publication date: 1-Jun-2007.
  1681. ACM
    Dong W, Zhou N and Paul J Optimized tile-based texture synthesis Proceedings of Graphics Interface 2007, (249-256)
  1682. Sun J, Lai C, Xu W, Ding Y and Chai Z A Modified Quantum-Behaved Particle Swarm Optimization Proceedings of the 7th international conference on Computational Science, Part I: ICCS 2007, (294-301)
  1683. Harman M The Current State and Future of Search Based Software Engineering 2007 Future of Software Engineering, (342-357)
  1684. Charbuillet C, Gas B, Chetouani M and Zarader J Multi filter bank approach for speaker verification based on genetic algorithm Proceedings of the 2007 international conference on Advances in nonlinear speech processing, (105-113)
  1685. Huynh S and Cai Y An Evolutionary Approach to Software Modularity Analysis Proceedings of the First International Workshop on Assessment of Contemporary Modularization Techniques
  1686. Lin C and Chuang C A rough set penalty function for marriage selection in multiple-evaluation genetic algorithms Proceedings of the 2nd international conference on Rough sets and knowledge technology, (500-507)
  1687. Liu Y, Yao J, Williams G and Adkins G (2007). Studying software metrics based on real-world software systems, Journal of Computing Sciences in Colleges, 22:5, (55-61), Online publication date: 1-May-2007.
  1688. ACM
    Atienza D, Baloukas C, Papadopoulos L, Poucet C, Mamagkakis S, Hidalgo J, Catthoor F, Soudris D and Lanchares J Optimization of dynamic data structures in multimedia embedded systems using evolutionary computation Proceedingsof the 10th international workshop on Software & compilers for embedded systems, (31-40)
  1689. Qu Y, Soininen J and Nurmi J Interactive presentation: Using dynamic voltage scaling to reduce the configuration energy of run time reconfigurable devices Proceedings of the conference on Design, automation and test in Europe, (147-152)
  1690. Lin J, Tien S, Chen T, Kao Y, Lin C and Chiu Y Referential hierarchical clustering algorithm based upon principal component analysis and genetic algorithm Proceedings of the 6th Conference on WSEAS International Conference on Applied Computer Science - Volume 6, (138-142)
  1691. Decraene J, Mitchell G, McMullin B and Kelly C The holland broadcast language and the modeling of biochemical networks Proceedings of the 10th European conference on Genetic programming, (361-370)
  1692. Smart W, Andreae P and Zhang M Empirical analysis of GP tree-fragments Proceedings of the 10th European conference on Genetic programming, (55-67)
  1693. Zinflou A, Gagné C and Gravel M Crossover operators for the car sequencing problem Proceedings of the 7th European conference on Evolutionary computation in combinatorial optimization, (229-239)
  1694. Remde S, Cowling P, Dahal K and Colledge N Exact/heuristic hybrids using rVNS and hyperheuristics for workforce scheduling Proceedings of the 7th European conference on Evolutionary computation in combinatorial optimization, (188-197)
  1695. Craven M Genetic algorithms for word problems in partially commutative groups Proceedings of the 7th European conference on Evolutionary computation in combinatorial optimization, (48-59)
  1696. Ballestín F A genetic algorithm for the resource renting problem with minimum and maximum time lags Proceedings of the 7th European conference on Evolutionary computation in combinatorial optimization, (25-35)
  1697. Singh B and Bawa S ACO based optimized scheduling algorithm for computational grids Proceedings of the third conference on IASTED International Conference: Advances in Computer Science and Technology, (283-286)
  1698. Kharbat F, Odeh M and Bull L (2007). New approach for extracting knowledge from the XCS learning classifier system, International Journal of Hybrid Intelligent Systems, 4:2, (49-62), Online publication date: 1-Apr-2007.
  1699. Castillo O and Melin P (2007). Evolutionary design and applications of hybrid intelligent systems, International Journal of Innovative Computing and Applications, 1:1, (48-62), Online publication date: 1-Apr-2007.
  1700. Yue S and Rind F (2007). A Synthetic Vision System Using Directionally Selective Motion Detectors to Recognize Collision, Artificial Life, 13:2, (93-122), Online publication date: 1-Apr-2007.
  1701. Xiao-Feng Xie and Jiming Liu A Mini-Swarm for the Quadratic Knapsack Problem Proceedings of the 2007 IEEE Swarm Intelligence Symposium, (190-197)
  1702. Elshamy W, Emara H and Bahgat A Clubs-based Particle Swarm Optimization Proceedings of the 2007 IEEE Swarm Intelligence Symposium, (289-296)
  1703. Akatsuka Y and Sato Y Reward Allotment Considered Roles for Learning Classifier System For Soccer Video Games Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Games, (288-295)
  1704. Zhao H (2007). A multi-objective genetic programming approach to developing Pareto optimal decision trees, Decision Support Systems, 43:3, (809-826), Online publication date: 1-Apr-2007.
  1705. Ferlin E, Lopes H, Lima C and Cichaczewski E Reconfigurable parallel architecture for genetic algorithms Proceedings of the 3rd international conference on Reconfigurable computing: architectures, tools and applications, (326-336)
  1706. Rasmussen J, Behrmann G and Larsen K Complexity in simplicity Proceedings of the 13th international conference on Tools and algorithms for the construction and analysis of systems, (231-245)
  1707. Ivan I, Boja C, Vochin M, Nitescu I, Toma C and Poda M Using genetic algorithms in software optimization Proceedings of the 6th WSEAS Int. Conference on Telecommunications and Informatics, (36-41)
  1708. Lightstone S, Teorey T and Nadeau T (2007). Physical Database Design, 10.5555/1197988, Online publication date: 21-Mar-2007.
  1709. Jong E (2007). A Monotonic Archive for Pareto-Coevolution, Evolutionary Computation, 15:1, (61-93), Online publication date: 1-Mar-2007.
  1710. Niyato D, Hossain E, Wavegedara K and Bhargava V Queue-Aware Power Allocation for Space-Time Block Coded MIMO Systems Proceedings of the 2007 IEEE Wireless Communications and Networking Conference, (2200-2204)
  1711. Kim H and Shin K (2007). A hybrid approach based on neural networks and genetic algorithms for detecting temporal patterns in stock markets, Applied Soft Computing, 7:2, (569-576), Online publication date: 1-Mar-2007.
  1712. Moussi L and Madrid M Simple target seek based on behavior Proceedings of the 6th WSEAS International Conference on Signal Processing, Robotics and Automation, (133-139)
  1713. Moussi L and Madrid M Simple target seek based on behavior Proceedings of the 6th WSEAS International Conference on Signal Processing, Robotics and Automation, (133-139)
  1714. Mao J, Wu Z and Wu X (2007). A TDMA scheduling scheme for many-to-one communications in wireless sensor networks, Computer Communications, 30:4, (863-872), Online publication date: 15-Feb-2007.
  1715. Din D (2007). A genetic algorithm for solving virtual topology configuration transition problem in WDM network, Computer Communications, 30:4, (767-781), Online publication date: 15-Feb-2007.
  1716. Ribeiro C, Martins S and Rosseti I (2007). Metaheuristics for optimization problems in computer communications, Computer Communications, 30:4, (656-669), Online publication date: 15-Feb-2007.
  1717. Aguado F, Doncel J, Molinelli J, Pérez G, Vidal C and Vieites A Certified genetic algorithms Proceedings of the 11th international conference on Computer aided systems theory, (282-289)
  1718. Seyedkazaemi M, Akbarimajd A, Rahnamaei A and Baghbanpourasl A A genetically tuned optimal PID controller Proceedings of the 6th Conference on 6th WSEAS Int. Conf. on Artificial Intelligence, Knowledge Engineering and Data Bases - Volume 6, (229-233)
  1719. Sun J, Liu J and Xu W (2007). Using quantum-behaved particle swarm optimization algorithm to solve non-linear programming problems, International Journal of Computer Mathematics, 84:2, (261-272), Online publication date: 1-Feb-2007.
  1720. Bazi Y, Bruzzone L and Melgani F (2007). Image thresholding based on the EM algorithm and the generalized Gaussian distribution, Pattern Recognition, 40:2, (619-634), Online publication date: 1-Feb-2007.
  1721. Sun T, Liu C, Hsieh S, Tsai S and Li K A robust blind sparse source separation algorithm using genetic algorithm to identify mixing matrix Proceedings of the Fourth IASTED International Conference on Signal Processing, Pattern Recognition, and Applications, (82-87)
  1722. Stephens C and Cervantes J Just what are building blocks? Proceedings of the 9th international conference on Foundations of genetic algorithms, (15-34)
  1723. Lamprier S, Amghar T, Levrat B and Saubion F SegGen Proceedings of the 20th international joint conference on Artifical intelligence, (1647-1652)
  1724. Salleb-Aouissi A, Vrain C and Nortet C QuantMiner Proceedings of the 20th international joint conference on Artifical intelligence, (1035-1040)
  1725. Orriols-Puig A and Bernadó-Mansilla E The class imbalance problem in UCS classifier system Proceedings of the 2003-2005 international conference on Learning classifier systems, (161-180)
  1726. Unold O and Dabrowski G Use of learning classifier system for inferring natural language grammar Proceedings of the 2003-2005 international conference on Learning classifier systems, (17-24)
  1727. Studley M and Bull L (2007). Using the XCS Classifier System for Multi-objective Reinforcement Learning Problems, Artificial Life, 13:1, (69-86), Online publication date: 1-Jan-2007.
  1728. Garai G and Chaudhuri B (2007). A distributed hierarchical genetic algorithm for efficient optimization and pattern matching, Pattern Recognition, 40:1, (212-228), Online publication date: 1-Jan-2007.
  1729. Shafi K and Abbass H (2007). Biologically-inspired Complex Adaptive Systems approaches to Network Intrusion Detection, Information Security Tech. Report, 12:4, (209-217), Online publication date: 1-Jan-2007.
  1730. González J, Rojas I, Pomares H, Herrera L, Guillén A, Palomares J and Rojas F (2007). Improving the accuracy while preserving the interpretability of fuzzy function approximators by means of multi-objective evolutionary algorithms, International Journal of Approximate Reasoning, 44:1, (32-44), Online publication date: 1-Jan-2007.
  1731. Strozzi F, Bosch J and Zaldívar J (2007). Beer game order policy optimization under changing customer demand, Decision Support Systems, 42:4, (2153-2163), Online publication date: 1-Jan-2007.
  1732. Ameur R and Heudin J Interactive Intelligent Agent Architecture Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology, (331-334)
  1733. Falcinelli E, Marcugini S and Milani A An Architecture for Dynamical News Providers Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology, (200-203)
  1734. ACM
    Michlmayr E Self-organization for search in peer-to-peer networks Proceedings of the 1st international conference on Bio inspired models of network, information and computing systems, (29-es)
  1735. ACM
    Decraene J, Mitchell G and McMullin B Evolving artificial cell signaling networks using molecular classifier systems Proceedings of the 1st international conference on Bio inspired models of network, information and computing systems, (6-es)
  1736. Zhang J, Li S and Shen S Extracting minimum unsatisfiable cores with a greedy genetic algorithm Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence, (847-856)
  1737. Yun I and Park B Application of stochastic optimization method for an urban corridor Proceedings of the 38th conference on Winter simulation, (1493-1499)
  1738. ACM
    Noonan L and Flanagan C An effective network processor design framework Proceedings of the 2006 ACM/IEEE symposium on Architecture for networking and communications systems, (103-112)
  1739. Poli R and Stephens C (2006). Understanding the biases of generalised recombination, Evolutionary Computation, 14:4, (411-432), Online publication date: 1-Dec-2006.
  1740. Tsuji M, Munetomo M and Akama K (2006). Linkage identification by fitness difference clustering, Evolutionary Computation, 14:4, (383-409), Online publication date: 1-Dec-2006.
  1741. Martínez M, Sanchis J and Blasco X (2006). Multiobjective controller design handling human preferences, Engineering Applications of Artificial Intelligence, 19:8, (927-938), Online publication date: 1-Dec-2006.
  1742. Fan W, Pathak P and Wallace L (2006). Nonlinear ranking function representations in genetic programming-based ranking discovery for personalized search, Decision Support Systems, 42:3, (1338-1349), Online publication date: 1-Dec-2006.
  1743. Mitchell M (2006). Field review, Artificial Intelligence, 170:18, (1194-1212), Online publication date: 1-Dec-2006.
  1744. Lim A, Rodrigues B and Wang C (2006). Two-machine flow shop problems with a single server, Journal of Scheduling, 9:6, (515-543), Online publication date: 1-Dec-2006.
  1745. Chen Y, Li Y, Cheng X and Guo L Survey and taxonomy of feature selection algorithms in intrusion detection system Proceedings of the Second SKLOIS conference on Information Security and Cryptology, (153-167)
  1746. ACM
    da Silva S, Barcelos C and Batista M An image retrieval system adaptable to user's interests by the use of relevance feedback via genetic algorithm Proceedings of the 12th Brazilian Symposium on Multimedia and the web, (45-52)
  1747. Blazewicz J, Oguz C, Swiercz A and Weglarz J (2006). DNA Sequencing by Hybridization via Genetic Search, Operations Research, 54:6, (1185-1192), Online publication date: 1-Nov-2006.
  1748. Fan W, Gordon M and Pathak P (2006). On linear mixture of expert approaches to information retrieval, Decision Support Systems, 42:2, (975-987), Online publication date: 1-Nov-2006.
  1749. Fruchter G, Fligler A and Winer R (2006). Optimal Product Line Design, Journal of Optimization Theory and Applications, 131:2, (227-244), Online publication date: 1-Nov-2006.
  1750. Terashima-Marín H, Farías-Zárate C, Ross P and Valenzuela-Rendón M Two-Phase GA-Based model to learn generalized hyper-heuristics for the 2d-cutting stock problem Proceedings of the 2nd international joint conference, and Proceedings of the 10th Ibero-American Conference on AI 18th Brazilian conference on Advances in Artificial Intelligence, (198-207)
  1751. Wang T and Fyfe C Simulation of cooperation for price competition in oligopolies Proceedings of the 6th international conference on Simulated Evolution And Learning, (718-725)
  1752. Klos T and Nooteboom B Adaptive learning in complex trade networks Proceedings of the 6th international conference on Simulated Evolution And Learning, (695-702)
  1753. Miquélez T, Bengoetxea E and Larrañaga P Evolutionary bayesian classifier-based optimization in continuous domains Proceedings of the 6th international conference on Simulated Evolution And Learning, (529-536)
  1754. Dick G and Whigham P Spatially-Structured evolutionary algorithms and sharing Proceedings of the 6th international conference on Simulated Evolution And Learning, (457-464)
  1755. Agrawal A and Mitchell I Selection enthusiasm Proceedings of the 6th international conference on Simulated Evolution And Learning, (449-456)
  1756. Kim S, Kim H, Mani V and Kim C Genetic algorithm for satellite customer assignment Proceedings of the 13th international conference on Neural information processing - Volume Part III, (964-973)
  1757. ACM
    Liu J and Tsui K (2006). Toward nature-inspired computing, Communications of the ACM, 49:10, (59-64), Online publication date: 1-Oct-2006.
  1758. Liang W and Huang C (2006). Agent-based demand forecast in multi-echelon supply chain, Decision Support Systems, 42:1, (390-407), Online publication date: 1-Oct-2006.
  1759. Combarro E and Miranda P (2006). Identification of fuzzy measures from sample data with genetic algorithms, Computers and Operations Research, 33:10, (3046-3066), Online publication date: 1-Oct-2006.
  1760. Safaei N, Sadjadi S and Babakhani M (2006). An efficient genetic algorithm for determining the optimal price discrimination, Applied Mathematics and Computation, 181:2, (1693-1702), Online publication date: 1-Oct-2006.
  1761. Bilotta E, Cutrí G and Panano P Evolving robot's behavior by using CNNs Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior, (631-639)
  1762. Wang Y, Liu Y, Luo R and Yang H Genetic algorithm based fine-grain sleep transistor insertion technique for leakage optimization Proceedings of the Second international conference on Advances in Natural Computation - Volume Part I, (716-725)
  1763. Hamzeh A and Rahmani A A pattern based evolutionary approach to prediction computation in XCSF Proceedings of the Second international conference on Advances in Natural Computation - Volume Part I, (686-695)
  1764. Ochoa G and Jaffe K Assortative Mating Drastically Alters the Magnitude of Error Thresholds Parallel Problem Solving from Nature - PPSN IX, (890-899)
  1765. Bornhofen S and Lattaud C Life History Evolution of Virtual Plants: Trading Off Between Growth and Reproduction Parallel Problem Solving from Nature - PPSN IX, (808-817)
  1766. Pelikan M, Sastry K, Butz M and Goldberg D Performance of Evolutionary Algorithms on Random Decomposable Problems Parallel Problem Solving from Nature - PPSN IX, (788-797)
  1767. Haines R and Corne D Evolving Novel and Effective Treatment Plans in the Context of Infection Dynamics Models: Illustrated with HIV and HAART Therapy Parallel Problem Solving from Nature - PPSN IX, (413-422)
  1768. Pelikan M, Hartmann A and Sastry K Hierarchical BOA, Cluster Exact Approximation, and Ising Spin Glasses Parallel Problem Solving from Nature - PPSN IX, (122-131)
  1769. Colombo G (2006). A genetic algorithm for frequency assignment with problem decomposition, International Journal of Mobile Network Design and Innovation, 1:2, (102-112), Online publication date: 1-Sep-2006.
  1770. Butz M, Pelikan M, Llorà X and Goldberg D (2006). Automated global structure extraction for effective local building block processing in XCS, Evolutionary Computation, 14:3, (345-380), Online publication date: 1-Sep-2006.
  1771. Ülker Ö, Özcan E and Korkmaz E Linear linkage encoding in grouping problems Proceedings of the 6th international conference on Practice and theory of automated timetabling VI, (347-363)
  1772. Özcan E Memes, self-generation and nurse rostering Proceedings of the 6th international conference on Practice and theory of automated timetabling VI, (85-104)
  1773. Zhu Y, Yang Z and Song J A genetic algorithm with age and sexual features Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I, (634-640)
  1774. Lee K, Joo J, Yang J and Honavar V Experimental comparison of feature subset selection using GA and ACO algorithm Proceedings of the Second international conference on Advanced Data Mining and Applications, (465-472)
  1775. Sun J, Xu W and Fang W Quantum-behaved particle swarm optimization with a hybrid probability distribution Proceedings of the 9th Pacific Rim international conference on Artificial intelligence, (737-746)
  1776. Yang H and Lee C An intelligent system for supporting personal creativity based on genetic algorithm Proceedings of the 9th Pacific Rim international conference on Artificial intelligence, (671-680)
  1777. Bolchini C, Ferrandi P, Lanzi P and Salice F (2006). Evolving classifiers on field programmable gate arrays, Journal of Systems Architecture: the EUROMICRO Journal, 52:8, (516-533), Online publication date: 1-Aug-2006.
  1778. Wedde H and Farooq M (2006). A comprehensive review of nature inspired routing algorithms for fixed telecommunication networks, Journal of Systems Architecture: the EUROMICRO Journal, 52:8, (461-484), Online publication date: 1-Aug-2006.
  1779. Boulif M and Atif K (2006). A new branch-&-bound-enhanced genetic algorithm for the manufacturing cell formation problem, Computers and Operations Research, 33:8, (2219-2245), Online publication date: 1-Aug-2006.
  1780. Busi N and Gutiérrez-Naranjo M A case study in (mem)brane computation Proceedings of the 7th international conference on Membrane Computing, (233-249)
  1781. Szumlanski S, Wu A and Hughes C Conflict resolution and a framework for collaborative interactive evolution Proceedings of the 21st national conference on Artificial intelligence - Volume 1, (512-517)
  1782. Rafiei M Verification of global optimality of the OFC active power filters by means of genetic algorithms Proceedings of the 10th WSEAS international conference on Systems, (563-568)
  1783. Frausto-Solis J, Mora-Vargas J, Larre M and Gomez-Ramos J Genetic algorithm with forced diversity for the university timetabling problem Proceedings of the 10th WSEAS international conference on Systems, (553-558)
  1784. ACM
    Sato Y, Akatsuka Y and Nishizono T Reward allotment in an event-driven hybrid learning classifier system for online soccer games Proceedings of the 8th annual conference on Genetic and evolutionary computation, (1753-1760)
  1785. ACM
    Llorà X and Sastry K Fast rule matching for learning classifier systems via vector instructions Proceedings of the 8th annual conference on Genetic and evolutionary computation, (1513-1520)
  1786. ACM
    Snijders P, de Jong E, de Boer B and Weissing F Multi-objective diversity maintenance Proceedings of the 8th annual conference on Genetic and evolutionary computation, (1429-1430)
  1787. ACM
    Yu T and Goldberg D Conquering hierarchical difficulty by explicit chunking Proceedings of the 8th annual conference on Genetic and evolutionary computation, (1385-1392)
  1788. ACM
    Tsuji M, Munetomo M and Akama K A crossover for complex building blocks overlapping Proceedings of the 8th annual conference on Genetic and evolutionary computation, (1337-1344)
  1789. ACM
    Rand W, Riolo R and Holland J The effect of crossover on the behavior of the GA in dynamic environments Proceedings of the 8th annual conference on Genetic and evolutionary computation, (1289-1296)
  1790. ACM
    Misevicius A A fast hybrid genetic algorithm for the quadratic assignment problem Proceedings of the 8th annual conference on Genetic and evolutionary computation, (1257-1264)
  1791. ACM
    Martin J Spectral techniques for graph bisection in genetic algorithms Proceedings of the 8th annual conference on Genetic and evolutionary computation, (1249-1256)
  1792. ACM
    Liang Y, Lueng K and Lee K A splicing/decomposable encoding and its novel operators for genetic algorithms Proceedings of the 8th annual conference on Genetic and evolutionary computation, (1225-1232)
  1793. ACM
    Hwang I, Kim Y and Moon B Multi-attractor gene reordering for graph bisection Proceedings of the 8th annual conference on Genetic and evolutionary computation, (1209-1216)
  1794. ACM
    Coffin D and Clack C gLINC Proceedings of the 8th annual conference on Genetic and evolutionary computation, (1133-1140)
  1795. ACM
    Cherba D and Punch W Crossover gene selection by spatial location Proceedings of the 8th annual conference on Genetic and evolutionary computation, (1111-1116)
  1796. ACM
    Chen C, Liu W and Chen Y Adaptive discretization for probabilistic model building genetic algorithms Proceedings of the 8th annual conference on Genetic and evolutionary computation, (1103-1110)
  1797. ACM
    Whitley D, Richards M, Beveridge R and da Motta Salles Barreto A Alternative evolutionary algorithms for evolving programs Proceedings of the 8th annual conference on Genetic and evolutionary computation, (919-926)
  1798. ACM
    Walker J and Miller J Embedded cartesian genetic programming and the lawnmower and hierarchical-if-and-only-if problems Proceedings of the 8th annual conference on Genetic and evolutionary computation, (911-918)
  1799. ACM
    Schmitt L and Droste S Convergence to global optima for genetic programming systems with dynamically scaled operators Proceedings of the 8th annual conference on Genetic and evolutionary computation, (879-886)
  1800. ACM
    Zhang Y, Kamalian R, Agogino A and Séquin C Design synthesis of microelectromechanical systems using genetic algorithms with component-based genotype representation Proceedings of the 8th annual conference on Genetic and evolutionary computation, (731-738)
  1801. ACM
    Terashima-Marín H, Farías Zárate C, Ross P and Valenzuela-Rendón M A GA-based method to produce generalized hyper-heuristics for the 2D-regular cutting stock problem Proceedings of the 8th annual conference on Genetic and evolutionary computation, (591-598)
  1802. ACM
    Jägersküpper J Probabilistic runtime analysis of (1 +, λ),ES using isotropic mutations Proceedings of the 8th annual conference on Genetic and evolutionary computation, (461-468)
  1803. ACM
    Pelikan M, Sastry K and Goldberg D Sporadic model building for efficiency enhancement of hierarchical BOA Proceedings of the 8th annual conference on Genetic and evolutionary computation, (405-412)
  1804. ACM
    Vanneschi L, Mauri G, Valsecchi A and Cagnoni S Heterogeneous cooperative coevolution Proceedings of the 8th annual conference on Genetic and evolutionary computation, (361-368)
  1805. ACM
    Paul T and Iba H Identification of weak motifs in multiple biological sequences using genetic algorithm Proceedings of the 8th annual conference on Genetic and evolutionary computation, (271-278)
  1806. ACM
    Bacardit J, Stout M, Krasnogor N, Hirst J and Blazewicz J Coordination number prediction using learning classifier systems Proceedings of the 8th annual conference on Genetic and evolutionary computation, (247-254)
  1807. ACM
    Olague G and Puente C Parisian evolution with honeybees for three-dimensional reconstruction Proceedings of the 8th annual conference on Genetic and evolutionary computation, (191-198)
  1808. ACM
    Jian M and Chen Y Introducing recombination with dynamic linkage discovery to particle swarm optimization Proceedings of the 8th annual conference on Genetic and evolutionary computation, (85-86)
  1809. Hurst J and Bull L (2006). A Neural Learning Classifier System with Self-Adaptive Constructivism for Mobile Robot Control, Artificial Life, 12:3, (353-380), Online publication date: 1-Jul-2006.
  1810. Guo Z, Wong W, Leung S, Fan J and Chan S (2006). Mathematical model and genetic optimization for the job shop scheduling problem in a mixed- and multi-product assembly environment, Computers and Industrial Engineering, 50:3, (202-219), Online publication date: 1-Jul-2006.
  1811. Li Y, Lim A and Ma H A hybrid genetic algorithm for solving the length-balanced two arc-disjoint shortest paths problem Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems, (272-281)
  1812. Lim A, Ma H and Miao Z Truck dock assignment problem with operational time constraint within crossdocks Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems, (262-271)
  1813. Cheng S and Chang H Multicriteria automatic essay assessor generation by using TOPSIS model and genetic algorithm Proceedings of the 8th international conference on Intelligent Tutoring Systems, (11-20)
  1814. Red'ko V and Tsoy Y Estimation of the evolution speed for the quasispecies model Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing, (460-469)
  1815. Lee G, Hara T and Fujita H Classifying masses as benign or malignant based on co-occurrence matrix textures Proceedings of the 8th international conference on Digital Mammography, (332-339)
  1816. Wu S and Li S Instruction selection for ARM/Thumb processors based on a multi-objective ant algorithm Proceedings of the First international computer science conference on Theory and Applications, (641-651)
  1817. Wille E, Mellia M, Leonardi E and Marsan M (2006). Algorithms for IP network design with end-to-end QoS constraints, Computer Networks: The International Journal of Computer and Telecommunications Networking, 50:8, (1086-1103), Online publication date: 6-Jun-2006.
  1818. Alba E, Almeida F, Blesa M, Cotta C, Díaz M, Dorta I, Gabarró J, León C, Luque G, Petit J, Rodríguez C, Rojas A and Xhafa F (2006). Efficient parallel LAN/WAN algorithms for optimization. The mallba project, Parallel Computing, 32:5-6, (415-440), Online publication date: 1-Jun-2006.
  1819. Alba E, Almeida F, Blesa M, Cotta C, Díaz M, Dorta I, Gabarró J, León C, Luque G, Petit J, Rodríguez C, Rojas A and Xhafa F (2006). Efficient parallel LAN/WAN algorithms for optimization, Parallel Computing, 32:5, (415-440), Online publication date: 1-Jun-2006.
  1820. Harman M Search based software engineering Proceedings of the 6th international conference on Computational Science - Volume Part IV, (740-747)
  1821. Sottile M, Rasmussen C and Graham R Co-Array collectives Proceedings of the 6th international conference on Computational Science - Volume Part II, (945-952)
  1822. Amghar T, Levrat B and Saubion F An evolutionary approach in information retrieval Proceedings of the 6th international conference on Computational Science - Volume Part I, (603-610)
  1823. Muntés-Mulero V, Aguilar-Saborit J, Zuzarte C and Larriba-Pey J CGO Proceedings of the 6th international conference on Computational Science - Volume Part I, (156-163)
  1824. Li G, Wang B and Li A Genetic operators design using division algorithm in the integer solution space Proceedings of the 17th IASTED international conference on Modelling and simulation, (286-290)
  1825. ACM
    Del Rosso C Reducing internal fragmentation in segregated free lists using genetic algorithms Proceedings of the 2006 international workshop on Workshop on interdisciplinary software engineering research, (57-60)
  1826. Torben-Nielsen B, Tuyls K and Postma E On the neuronal morphology-function relationship Proceedings of the 1st international conference on Knowledge discovery and emergent complexity in bioinformatics, (131-144)
  1827. Luotsinen L, Ekblad J, Fitz-Gibbon T, Houchin C, Key J, Khan M, Lyu J, Nguyen J, Oleson R, Stein G, Weide S, Trinh V and Bölöni L Comparing apples with oranges Proceedings of the 4th international conference on Programming multi-agent systems, (93-112)
  1828. Lim A, Ma H and Miao Z Truck dock assignment problem with time windows and capacity constraint in transshipment network through crossdocks Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part III, (688-697)
  1829. Yang Y, Zhang S, Li Z and Gao S A GA based task grouping for top-down collaborative assembly design Proceedings of the 10th international conference on Computer supported cooperative work in design III, (409-418)
  1830. Kreng V and Chao M (2006). The principle of knowledge management, International Journal of Advanced Media and Communication, 1:2, (193-201), Online publication date: 1-May-2006.
  1831. Selfridge O (2006). Learning and Education, IEEE Intelligent Systems, 21:3, (16-23), Online publication date: 1-May-2006.
  1832. Sörensen K and Sevaux M (2006). MA|PM, Computers and Operations Research, 33:5, (1214-1225), Online publication date: 1-May-2006.
  1833. Alba E, Luque G and Luna F Workforce planning with parallel algorithms Proceedings of the 20th international conference on Parallel and distributed processing, (246-246)
  1834. ACM
    He K, Dong S and Zheng L Service-oriented grid computation for large-scale parameter estimation in complex environmental modeling Proceedings of the 2006 ACM symposium on Applied computing, (741-745)
  1835. Logofatu D and Drechsler R Efficient evolutionary approaches for the data ordering problem with inversion Proceedings of the 2006 international conference on Applications of Evolutionary Computing, (320-331)
  1836. Nicolau M and Ryan C Solving sudoku with the GAuGE system Proceedings of the 9th European conference on Genetic Programming, (213-224)
  1837. ACM
    Vieira F, Martins F, Silva R, Menezes R and Braga M Using genetic algorithms to generate test plans for functionality testing Proceedings of the 44th annual ACM Southeast Conference, (140-145)
  1838. ACM
    Chen L, Lee C and Hu W Gene intrusion on a society of Hill-Climbers Proceedings of the 44th annual ACM Southeast Conference, (34-39)
  1839. Habibi A, Tahar S, Samarah A, Li D and Mohamed O Efficient assertion based verification using TLM Proceedings of the conference on Design, automation and test in Europe: Proceedings, (106-111)
  1840. Xu Z Source routing in the internet with reinforcement learning and genetic algorithms Proceedings of the 5th WSEAS International Conference on Software Engineering, Parallel and Distributed Systems, (202-207)
  1841. Wang D, Zhu H and Liu X An application of genetic algorithm for auto-body panel die-design case library based on grid Proceedings of the 5th WSEAS International Conference on Software Engineering, Parallel and Distributed Systems, (43-47)
  1842. Lorpunmanee S, Sap M, Abdullah A and Srinoy S Genetic algorithm in grid scheduling with multiple objectives Proceedings of the 5th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases, (429-435)
  1843. Yan X and Li Y Customer segmentation based on neural network with clustering technique Proceedings of the 5th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases, (265-268)
  1844. Uludag G, Senel K, Etaner-Uyar A and Dag H Application of an evolutionary algorithm for VaR calculations Proceedings of the 5th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases, (127-132)
  1845. Alonso A Design of a computational model of adaptative coevolution Proceedings of the 5th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases, (80-84)
  1846. Geiger C, Uzsoy R and Aytug H (2006). Rapid Modeling and Discovery of Priority Dispatching Rules, Journal of Scheduling, 9:1, (7-34), Online publication date: 1-Feb-2006.
  1847. Krishna S, Black J and Panchanathan S Using genetic algorithms to find person-specific gabor feature detectors for face indexing and recognition Proceedings of the 2006 international conference on Advances in Biometrics, (182-191)
  1848. Kleiner A, Brenner M, Bräuer T, Dornhege C, Göbelbecker M, Luber M, Prediger J, Stückler J and Nebel B Successful search and rescue in simulated disaster areas RoboCup 2005, (323-334)
  1849. Martorella M, Berizzi F and Bruscoli S (2006). Use of genetic algorithms for contrast and entropy optimization in ISAR autofocusing, EURASIP Journal on Advances in Signal Processing, 2006, (133-133), Online publication date: 1-Jan-2006.
  1850. Armano G, Orro A and Vargiu E (2006). MASSP3, EURASIP Journal on Advances in Signal Processing, 2006, (54-54), Online publication date: 1-Jan-2006.
  1851. Habibi A and Tahar S (2006). Design and verification of systemc transaction-level models, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 14:1, (57-68), Online publication date: 1-Jan-2006.
  1852. Su M, Chou C, Lai E and Lee J (2006). A new approach to fuzzy classifier systems and its application in self-generating neuro-fuzzy systems, Neurocomputing, 69:4-6, (586-614), Online publication date: 1-Jan-2006.
  1853. Das S and Konar A An improved differential evolution scheme for noisy optimization problems Proceedings of the First international conference on Pattern Recognition and Machine Intelligence, (417-421)
  1854. Campoy A, Tamura E, Sáez S, Rodríguez F and Busquets-Mataix J On using locking caches in embedded real-time systems Proceedings of the Second international conference on Embedded Software and Systems, (150-159)
  1855. Park J, Shazzad K and Kim D Toward modeling lightweight intrusion detection system through correlation-based hybrid feature selection Proceedings of the First SKLOIS conference on Information Security and Cryptology, (279-289)
  1856. Lin C, Chang C and Lin C (2005). A New Density-Based Scheme for Clustering Based on Genetic Algorithm, Fundamenta Informaticae, 68:4, (315-331), Online publication date: 1-Dec-2005.
  1857. progar M, progar M and Colnari M (2005). Autonomous evolutionary algorithm in medical data analysis, Computer Methods and Programs in Biomedicine, 80, (S29-S38), Online publication date: 1-Dec-2005.
  1858. Dorigo M and Blum C (2005). Ant colony optimization theory, Theoretical Computer Science, 344:2-3, (243-278), Online publication date: 17-Nov-2005.
  1859. Fischer S and Wegener I (2005). The one-dimensional Ising model, Theoretical Computer Science, 344:2-3, (208-225), Online publication date: 17-Nov-2005.
  1860. Page A and Naughton T (2005). Framework for Task Scheduling in Heterogeneous Distributed Computing Using Genetic Algorithms, Artificial Intelligence Review, 24:3-4, (415-429), Online publication date: 1-Nov-2005.
  1861. Panait L and Luke S (2005). Cooperative Multi-Agent Learning, Autonomous Agents and Multi-Agent Systems, 11:3, (387-434), Online publication date: 1-Nov-2005.
  1862. ACM
    Zhang B, Chen Y, Fan W, Fox E, Gonçalves M, Cristo M and Calado P Intelligent GP fusion from multiple sources for text classification Proceedings of the 14th ACM international conference on Information and knowledge management, (477-484)
  1863. Hassas S Engineering complex adaptive systems using situated multi-agents Proceedings of the 6th international conference on Engineering Societies in the Agents World, (125-141)
  1864. Nehaniv C Self-replication, evolvability and asynchronicity in stochastic worlds Proceedings of the Third international conference on StochasticAlgorithms: foundations and applications, (126-169)
  1865. Hamzeh A and Rahmani A An evolutionary function approximation approach to compute prediction in XCSF Proceedings of the 16th European conference on Machine Learning, (584-592)
  1866. Bäck T and Breukelaar R Using genetic algorithms to evolve behavior in cellular automata Proceedings of the 4th international conference on Unconventional Computation, (1-10)
  1867. Sikora R and Piramuthu S (2005). Efficient Genetic Algorithm Based Data Mining Using Feature Selection with Hausdorff Distance, Information Technology and Management, 6:4, (315-331), Online publication date: 1-Oct-2005.
  1868. Simmons P and Cacho O (2005). A Possible Conflict between Economic Efficiency and Political Pressure, Computational Economics, 26:2, (129-140), Online publication date: 1-Oct-2005.
  1869. Kim K, Graf P and Jones W (2005). A genetic algorithm based inverse band structure method for semiconductor alloys, Journal of Computational Physics, 208:2, (735-760), Online publication date: 20-Sep-2005.
  1870. Tschudin C and Yamamoto L Harnessing self-modifying code for resilient software Proceedings of the Second international conference on Radical Agent Concepts: innovative Concepts for Autonomic and Agent-Based Systems, (197-204)
  1871. Laws A, Taleb-Bendiab A and Wade S Genetically modified software Proceedings of the Second international conference on Radical Agent Concepts: innovative Concepts for Autonomic and Agent-Based Systems, (184-196)
  1872. Hilding F and Ward K Automated operator selection on genetic algorithms Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IV, (903-909)
  1873. Cubo Ó, Robles V, Segovia J and Menasalvas E Using genetic algorithms to improve accuracy of economical indexes prediction Proceedings of the 6th international conference on Advances in Intelligent Data Analysis, (57-65)
  1874. Robles V, Peña J, Pérez M, Herrero P and Cubo O Extending the GA-EDA hybrid algorithm to study diversification and intensification in GAs and EDAs Proceedings of the 6th international conference on Advances in Intelligent Data Analysis, (339-350)
  1875. Nitschke G (2005). Emergence of Cooperation: State of the Art, Artificial Life, 11:3, (367-396), Online publication date: 1-Sep-2005.
  1876. Oltean M (2005). Evolving Evolutionary Algorithms Using Linear Genetic Programming, Evolutionary Computation, 13:3, (387-410), Online publication date: 1-Sep-2005.
  1877. Chen Y and Goldberg D (2005). Convergence Time for the Linkage Learning Genetic Algorithm, Evolutionary Computation, 13:3, (279-302), Online publication date: 1-Sep-2005.
  1878. Dauscher P and Uthmann T (2005). Self-Organized Modularization in Evolutionary Algorithms, Evolutionary Computation, 13:3, (303-328), Online publication date: 1-Sep-2005.
  1879. Ferentinos K (2005). Biological engineering applications of feedforward neural networks designed and parameterized by genetic algorithms, Neural Networks, 18:7, (934-950), Online publication date: 1-Sep-2005.
  1880. Lim A, Rodrigues B and Zhu Y (2005). Airport Gate Scheduling with Time Windows, Artificial Intelligence Review, 24:1, (5-31), Online publication date: 1-Sep-2005.
  1881. Hong Y, Ren Q, Zeng J and Zhang Y Search space filling and shrinking based to solve constraint optimization problems Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I, (986-994)
  1882. Bingul Z and Oysu C Comparison of stochastic and approximation algorithms for one-dimensional cutting problems Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I, (976-985)
  1883. Varma A, Aggour K and Bonissone P Selecting the best units in a fleet Proceedings of the 6th international conference on Case-Based Reasoning Research and Development, (595-609)
  1884. ACM
    Zhang C and Chen X OCRS Proceedings of the 6th international workshop on Multimedia data mining: mining integrated media and complex data, (71-78)
  1885. ACM
    Milani A, Suriani S and Marcugini S Evolutionary online services Proceedings of the 7th international conference on Electronic commerce, (343-349)
  1886. Bekmann J and Hoffmann A Improved knowledge acquisition for high-performance heuristic search Proceedings of the 19th international joint conference on Artificial intelligence, (41-46)
  1887. ACM
    Sklar E and Davies M Multiagent simulation of learning environments Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems, (953-959)
  1888. Mitilineos S, Heretakis I, Chatziathanassiou N, Thomopoulos S and Capsalis C Multiobjective antenna array design using the method of genetic algorithms Proceedings of the 9th WSEAS International Conference on Communications, (1-5)
  1889. Du J, Korkmaz E, Alhajj R and Barker K Alternative clustering by utilizing multi-objective genetic algorithm with linked-list based chromosome encoding Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition, (346-355)
  1890. Ortiz-Boyer D, HerváMartínez C and García-Pedrajas N (2005). CIXL2, Journal of Artificial Intelligence Research, 24:1, (1-48), Online publication date: 1-Jul-2005.
  1891. Bredstrom D, Carlsson D and Ronnqvist M (2005). A Hybrid Algorithm for Distribution Problems, IEEE Intelligent Systems, 20:4, (19-25), Online publication date: 1-Jul-2005.
  1892. Oĝuz C and Ercan M (2005). A Genetic Algorithm for Hybrid Flow-shop Scheduling with Multiprocessor Tasks, Journal of Scheduling, 8:4, (323-351), Online publication date: 1-Jul-2005.
  1893. ACM
    Lehmann K Why simulating evolutionary processes is just as interesting as applying them Proceedings of the 7th annual workshop on Genetic and evolutionary computation, (370-373)
  1894. ACM
    Mañana G, González F and Romero E Distributed genetic algorithm for subtraction radiography Proceedings of the 7th annual workshop on Genetic and evolutionary computation, (140-146)
  1895. ACM
    Smith N and Congdon C RCS Proceedings of the 7th annual workshop on Genetic and evolutionary computation, (119-120)
  1896. ACM
    Wada A, Takadama K and Shimohara K Learning classifier system equivalent with reinforcement learning with function approximation Proceedings of the 7th annual workshop on Genetic and evolutionary computation, (92-93)
  1897. ACM
    Llorà X, Sastry K and Goldberg D Binary rule encoding schemes Proceedings of the 7th annual workshop on Genetic and evolutionary computation, (88-89)
  1898. ACM
    Dam H, Abbass H and Lokan C Be real! XCS with continuous-valued inputs Proceedings of the 7th annual workshop on Genetic and evolutionary computation, (85-87)
  1899. ACM
    Orriols A and Bernadó-Mansilla E The class imbalance problem in learning classifier systems Proceedings of the 7th annual workshop on Genetic and evolutionary computation, (74-78)
  1900. ACM
    Rand W and Riolo R Measurements for understanding the behavior of the genetic algorithm in dynamic environments Proceedings of the 7th annual workshop on Genetic and evolutionary computation, (32-38)
  1901. ACM
    Sato Y and Kanno R Event-driven learning classifier systems for online soccer games Proceedings of the 7th annual conference on Genetic and evolutionary computation, (2201-2202)
  1902. ACM
    Pham Q Evolutionary optimization of dynamic control problems accelerated by progressive step reduction Proceedings of the 7th annual conference on Genetic and evolutionary computation, (2181-2187)
  1903. ACM
    Talaie S, Leigh R, Louis S and Raines G Predicting mining activity with parallel genetic algorithms Proceedings of the 7th annual conference on Genetic and evolutionary computation, (2149-2155)
  1904. ACM
    Ahrens B Genetic algorithm optimization of superresolution parameters Proceedings of the 7th annual conference on Genetic and evolutionary computation, (2083-2088)
  1905. ACM
    Mierswa I Incorporating fuzzy knowledge into fitness Proceedings of the 7th annual conference on Genetic and evolutionary computation, (1985-1992)
  1906. ACM
    Browne W and Scott D An abstraction agorithm for genetics-based reinforcement learning Proceedings of the 7th annual conference on Genetic and evolutionary computation, (1875-1882)
  1907. ACM
    Bacardit J Analysis of the initialization stage of a Pittsburgh approach learning classifier system Proceedings of the 7th annual conference on Genetic and evolutionary computation, (1843-1850)
  1908. ACM
    Shafti L and Pérez E Constructive induction and genetic algorithms for learning concepts with complex interaction Proceedings of the 7th annual conference on Genetic and evolutionary computation, (1811-1818)
  1909. ACM
    Ravichandran B, Gandhe A and Smith R XCS for robust automatic target recognition Proceedings of the 7th annual conference on Genetic and evolutionary computation, (1803-1810)
  1910. ACM
    Hornby G Measuring, enabling and comparing modularity, regularity and hierarchy in evolutionary design Proceedings of the 7th annual conference on Genetic and evolutionary computation, (1729-1736)
  1911. ACM
    Richards M, Whitley D, Beveridge J, Mytkowicz T, Nguyen D and Rome D Evolving cooperative strategies for UAV teams Proceedings of the 7th annual conference on Genetic and evolutionary computation, (1721-1728)
  1912. ACM
    Martin H. J Search space modulation in genetic algorithms Proceedings of the 7th annual conference on Genetic and evolutionary computation, (1559-1560)
  1913. ACM
    Russell M and Lamont G A genetic algorithm for unmanned aerial vehicle routing Proceedings of the 7th annual conference on Genetic and evolutionary computation, (1523-1530)
  1914. ACM
    Rand W and Riolo R The problem with a self-adaptative mutation rate in some environments Proceedings of the 7th annual conference on Genetic and evolutionary computation, (1493-1500)
  1915. ACM
    Mori N, Takeda M and Matsumoto K A comparison study between genetic algorithms and bayesian optimize algorithms by novel indices Proceedings of the 7th annual conference on Genetic and evolutionary computation, (1485-1492)
  1916. ACM
    Chen J, Ho S and Goldberg D Quality-time analysis of multi-objective evolutionary algorithms Proceedings of the 7th annual conference on Genetic and evolutionary computation, (1455-1462)
  1917. ACM
    Greene W Schema disruption in tree-structured chromosomes Proceedings of the 7th annual conference on Genetic and evolutionary computation, (1401-1408)
  1918. ACM
    Bassett J, Potter M and De Jong K Applying price's equation to survival selection Proceedings of the 7th annual conference on Genetic and evolutionary computation, (1371-1378)
  1919. ACM
    Iglesias M, Naudts B, Verschoren A and Vidal C Walsh transforms, balanced sum theorems and partition coefficients over multary alphabets Proceedings of the 7th annual conference on Genetic and evolutionary computation, (1303-1308)
  1920. ACM
    Yu T, Sastry K and Goldberg D Linkage learning, overlapping building blocks, and systematic strategy for scalable recombination Proceedings of the 7th annual conference on Genetic and evolutionary computation, (1217-1224)
  1921. ACM
    Garibay I, Wu A and Garibay O On favoring positive correlations between form and quality of candidate solutions via the emergence of genomic self-similarity Proceedings of the 7th annual conference on Genetic and evolutionary computation, (1177-1184)
  1922. ACM
    Seo D and Moon B Computing the epistasis variance of large-scale traveling salesman problems Proceedings of the 7th annual conference on Genetic and evolutionary computation, (1169-1176)
  1923. ACM
    McPhee N and Crane E A theoretical analysis of the HIFF problem Proceedings of the 7th annual conference on Genetic and evolutionary computation, (1153-1160)
  1924. ACM
    Seng O, Bauer M, Biehl M and Pache G Search-based improvement of subsystem decompositions Proceedings of the 7th annual conference on Genetic and evolutionary computation, (1045-1051)
  1925. ACM
    Quintana D, Luque C and Isasi P Evolutionary rule-based system for IPO underpricing prediction Proceedings of the 7th annual conference on Genetic and evolutionary computation, (983-989)
  1926. ACM
    McLoughlin J and Cedeño W The enhanced evolutionary tabu search and its application to the quadratic assignment problem Proceedings of the 7th annual conference on Genetic and evolutionary computation, (975-982)
  1927. ACM
    Pakhira M and De R A hardware pipeline for function optimization using genetic algorithms Proceedings of the 7th annual conference on Genetic and evolutionary computation, (949-956)
  1928. ACM
    Keymeulen D, Fink W, Ferguson M, Peay C, Oks B, Terrile R and Yee K Evolutionary computation applied to the tuning of MEMS gyroscopes Proceedings of the 7th annual conference on Genetic and evolutionary computation, (927-932)
  1929. ACM
    Jägersküpper J and Witt C Rigorous runtime analysis of a (μ+1)ES for the sphere function Proceedings of the 7th annual conference on Genetic and evolutionary computation, (849-856)
  1930. ACM
    Kurz M and Canterbury S Minimizing total flowtime and maximum earliness on a single machine using multiple measures of fitness Proceedings of the 7th annual conference on Genetic and evolutionary computation, (803-809)
  1931. ACM
    Wright A and Pulavarty S On the convergence of an estimation of distribution algorithm based on linkage discovery and factorization Proceedings of the 7th annual conference on Genetic and evolutionary computation, (695-702)
  1932. ACM
    Butz M, Pelikan M, Llorà X and Goldberg D Extracted global structure makes local building block processing effective in XCS Proceedings of the 7th annual conference on Genetic and evolutionary computation, (655-662)
  1933. ACM
    Terashima-Marín H, Flores-Álvarez E and Ross P Hyper-heuristics and classifier systems for solving 2D-regular cutting stock problems Proceedings of the 7th annual conference on Genetic and evolutionary computation, (637-643)
  1934. ACM
    Lehmann K and Kaufmann M Evolutionary algorithms for the self-organized evolution of networks Proceedings of the 7th annual conference on Genetic and evolutionary computation, (563-570)
  1935. ACM
    Cairns D, Cameron G and Wess T Evolving an improved axial structure for fibrillar collagen Proceedings of the 7th annual conference on Genetic and evolutionary computation, (471-472)
  1936. ACM
    Spellward P and Kovacs T On the contribution of gene libraries to artificial immune systems Proceedings of the 7th annual conference on Genetic and evolutionary computation, (313-319)
  1937. ACM
    Zaiyi G, Kwang H and Cing T Sufficiency verification of HIV-1 pathogenesis based on multi-agent simulation Proceedings of the 7th annual conference on Genetic and evolutionary computation, (305-312)
  1938. ACM
    Fleischer M Scale invariant pareto optimality Proceedings of the 7th annual conference on Genetic and evolutionary computation, (233-240)
  1939. ACM
    Settles M, Nathan P and Soule T Breeding swarms Proceedings of the 7th annual conference on Genetic and evolutionary computation, (185-192)
  1940. ACM
    Settles M and Soule T Breeding swarms Proceedings of the 7th annual conference on Genetic and evolutionary computation, (161-168)
  1941. ACM
    Brabazon A, Silva A, de Sousa T, O'Neill M, Matthews R and Costa E Agent-based modelling of product invention Proceedings of the 7th annual conference on Genetic and evolutionary computation, (129-136)
  1942. ACM
    Breukelaar R and Bäck T Using a genetic algorithm to evolve behavior in multi dimensional cellular automata Proceedings of the 7th annual conference on Genetic and evolutionary computation, (107-114)
  1943. Chen S and Pitt G The coordination of parallel search with common components Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence, (619-627)
  1944. Ramos F, Razo L, Martinez A, Zúñiga F and Piza H 3D emotional agent architecture Proceedings of the 5th international conference on Innovative Internet Community Systems, (181-194)
  1945. Marínez M, Sanchis J and Blasco X Genetic algorithms for multiobjective controller design Proceedings of the First international work-conference on the Interplay Between Natural and Artificial Computation conference on Artificial Intelligence and Knowledge Engineering Applications: a bioinspired approach - Volume Part II, (242-251)
  1946. Ozalp S A genetic algorithm for scheduling of jobs on lines of press machines Proceedings of the 5th international conference on Large-Scale Scientific Computing, (535-543)
  1947. Szeto K and Zhang J Adaptive genetic algorithm and quasi-parallel genetic algorithm Proceedings of the 5th international conference on Large-Scale Scientific Computing, (189-196)
  1948. Lin C, Chang C and Lin C (2005). A New Density-Based Scheme for Clustering Based on Genetic Algorithm, Fundamenta Informaticae, 68:4, (315-331), Online publication date: 1-Jun-2005.
  1949. Pedrycz W and Succi G (2005). Genetic granular classifiers in modeling software quality, Journal of Systems and Software, 76:3, (277-285), Online publication date: 1-Jun-2005.
  1950. Mester D and Bräysy O (2005). Active guided evolution strategies for large-scale vehicle routing problems with time windows, Computers and Operations Research, 32:6, (1593-1614), Online publication date: 1-Jun-2005.
  1951. Gao J and Liu Y Stochastic nash equilibrium with a numerical solution method Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I, (811-816)
  1952. Yang Y, Cheung L and Golubchik L Data assignment in fault tolerant uploads for digital government applications Proceedings of the 2005 national conference on Digital government research, (29-38)
  1953. Mani V, Suresh S and Kim H Real-Coded genetic algorithms for optimal static load balancing in distributed computing system with communication delays Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part IV, (269-279)
  1954. Smith N (2005). Learning classifier systems and evolutionary robotics, Journal of Computing Sciences in Colleges, 20:5, (112-113), Online publication date: 1-May-2005.
  1955. Silva L, Bellon O and Boyer K (2005). Precision Range Image Registration Using a Robust Surface Interpenetration Measure and Enhanced Genetic Algorithms, IEEE Transactions on Pattern Analysis and Machine Intelligence, 27:5, (762-776), Online publication date: 1-May-2005.
  1956. Wong H, Ip H, Iu L, Cheung K and Guan L (2005). Transformation of Compressed Domain Features for Content-Based Image Indexing and Retrieval, Multimedia Tools and Applications, 26:1, (5-26), Online publication date: 1-May-2005.
  1957. Herrero J, Berlanga A, Molina J and Casar J (2005). Methods for Operations Planning in Airport Decision Support Systems, Applied Intelligence, 22:3, (183-206), Online publication date: 1-May-2005.
  1958. Lacerda E, Carvalho A, Braga A and Ludermir T (2005). Evolutionary Radial Basis Functions for Credit Assessment, Applied Intelligence, 22:3, (167-181), Online publication date: 1-May-2005.
  1959. Aparisi F and García-Díaz J Multi-criterion optimization for the EWMA and MEWMA quality control charts employing genetic algorithms Proceedings of the 4th WSEAS International Conference on Applied Mathematics and Computer Science, (1-6)
  1960. Ferrolho A and Crisóstomo M Genetic algorithms for solving scheduling problems in flexible manufacturing cells Proceedings of the 4th WSEAS International Conference on Electronic, Signal Processing and Control, (1-6)
  1961. Page A and Naughton T Dynamic Task Scheduling using Genetic Algorithms for Heterogeneous Distributed Computing Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 6 - Volume 07
  1962. ACM
    Gong J and Tarasewich P Alphabetically constrained keypad designs for text entry on mobile devices Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, (211-220)
  1963. Topcuoglu H, Corut F, Ermis M and Yilmaz G (2005). Solving the uncapacitated hub location problem using genetic algorithms, Computers and Operations Research, 32:4, (967-984), Online publication date: 1-Apr-2005.
  1964. Aggarwal C and Yu S (2005). An effective and efficient algorithm for high-dimensional outlier detection, The VLDB Journal — The International Journal on Very Large Data Bases, 14:2, (211-221), Online publication date: 1-Apr-2005.
  1965. Jin N and Tsang E Relative fitness and absolute fitness for co-evolutionary systems Proceedings of the 8th European conference on Genetic Programming, (331-340)
  1966. ACM
    Hicks J and Driscoll J Evolution of artificial agents in a realistic virtual environment Proceedings of the 43rd annual ACM Southeast Conference - Volume 2, (365-369)
  1967. ACM
    Stein G, Chen B, Wu A and Hua K Decision tree classifier for network intrusion detection with GA-based feature selection Proceedings of the 43rd annual ACM Southeast Conference - Volume 2, (136-141)
  1968. Savioli C, Czendrodi C, Calvano J and Filho A Fault-Trajectory Approach for Fault Diagnosis on Analog Circuits Proceedings of the conference on Design, Automation and Test in Europe - Volume 1, (174-175)
  1969. Monirul Islam M and Murase K (2005). Chaotic dynamics of a behavior-based miniature mobile robot, Neural Networks, 18:2, (123-144), Online publication date: 1-Mar-2005.
  1970. Lingras P and Huang X (2005). Statistical, Evolutionary, and Neurocomputing Clustering Techniques, Artificial Intelligence Review, 23:1, (3-29), Online publication date: 1-Mar-2005.
  1971. Momenai A and Talebi S A fast evolutionary algorithm in codebook design Proceedings of the 4th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering Data Bases, (1-6)
  1972. Cho S and Chi Z (2005). Genetic Evolution Processing of Classification, IEEE Transactions on Knowledge and Data Engineering, 17:2, (216-231), Online publication date: 1-Feb-2005.
  1973. Alkemade F and Castaldi C (2005). Strategies for the Diffusion of Innovations on Social Networks, Computational Economics, 25:1-2, (3-23), Online publication date: 1-Feb-2005.
  1974. Zúñiga F, Ramos F and Piza H Specifying agent's goals in 3d scenarios using process algebras Proceedings of the 5th international conference on Advanced Distributed Systems, (472-482)
  1975. ACM
    Murakawa M, Miura-Mattausch M and Higuchi T Towards automatic parameter extraction for surface-potential-based MOSFET models with the genetic algorithm Proceedings of the 2005 Asia and South Pacific Design Automation Conference, (204-207)
  1976. Nowostawski M, Purvis M and Cranefield S An architecture for self-organising evolvable virtual machines Engineering Self-Organising Systems, (100-122)
  1977. Bar-Yam Y About engineering complex systems Engineering Self-Organising Systems, (16-31)
  1978. Kubin G, Lainscsek C and Rank E Identification of nonlinear oscillator models for speech analysis and synthesis Nonlinear Speech Modeling and Applications, (74-113)
  1979. Peterson D, Knight J, Kirby M, Anderson C and Thaut M (2005). Feature selection and blind source separation in an EEG-based brain-computer interface, EURASIP Journal on Advances in Signal Processing, 2005, (3128-3140), Online publication date: 1-Jan-2005.
  1980. Spinellis D (2005). Index-Based Persistent Document Identifiers, Information Retrieval, 8:1, (5-24), Online publication date: 1-Jan-2005.
  1981. Salomon M, Heitz F, Perrin G and Armspach J (2005). A massively parallel approach to deformable matching of 3D medical images via stochastic differential equations, Parallel Computing, 31:1, (45-71), Online publication date: 1-Jan-2005.
  1982. Hazy J and Tivnan B On building an organizationally realistic agent-based model of local interaction and emergent network structure Proceedings of the 36th conference on Winter simulation, (1827-1834)
  1983. Rowe J, Vose M and Wright A (2004). Structural Search Spaces and Genetic Operators, Evolutionary Computation, 12:4, (461-493), Online publication date: 1-Dec-2004.
  1984. Johnson M, Zomaya A and Kraetzl M (2004). Modeling external network behavior by using internal measurements, Journal of Parallel and Distributed Computing, 64:12, (1345-1359), Online publication date: 1-Dec-2004.
  1985. Caramia M, Felici G and Pezzoli A (2004). Improving search results with data mining in a thematic search engine, Computers and Operations Research, 31:14, (2387-2404), Online publication date: 1-Dec-2004.
  1986. Binkley D and Harman M (2004). Analysis and Visualization of Predicate Dependence on Formal Parameters and Global Variables, IEEE Transactions on Software Engineering, 30:11, (715-735), Online publication date: 1-Nov-2004.
  1987. Oh I, Lee J and Moon B (2004). Hybrid Genetic Algorithms for Feature Selection, IEEE Transactions on Pattern Analysis and Machine Intelligence, 26:11, (1424-1437), Online publication date: 1-Nov-2004.
  1988. Loukopoulos T and Ahmad I (2004). Static and adaptive distributed data replication using genetic algorithms, Journal of Parallel and Distributed Computing, 64:11, (1270-1285), Online publication date: 1-Nov-2004.
  1989. Jung S and Cho K Identification of gene interaction networks based on evolutionary computation Proceedings of the 13th international conference on AI, Simulation, and Planning in High Autonomy Systems, (428-439)
  1990. Pedrycz W, Breuer A and Pizzi N (2004). Genetic design of feature spaces for pattern classifiers, Artificial Intelligence in Medicine, 32:2, (115-125), Online publication date: 1-Oct-2004.
  1991. Casari M (2004). Can Genetic Algorithms Explain Experimental Anomalies?, Computational Economics, 24:3, (257-275), Online publication date: 1-Oct-2004.
  1992. Bäck T, Breukelaar R and Willmes L Inverse design of cellular automata by genetic algorithms Proceedings of the 2004 international conference on Unconventional Programming Paradigms, (161-172)
  1993. ACM
    Savioli C, Szendrodi C, Calvano J and Mesquita A ATPG for fault diagnosis on analog electrical networks using evolutionary techniques Proceedings of the 17th symposium on Integrated circuits and system design, (100-104)
  1994. Yang W (2004). An improved genetic algorithm adopting immigration operator, Intelligent Data Analysis, 8:4, (385-401), Online publication date: 1-Sep-2004.
  1995. Wu A, Yu H, Jin S, Lin K and Schiavone G (2004). An Incremental Genetic Algorithm Approach to Multiprocessor Scheduling, IEEE Transactions on Parallel and Distributed Systems, 15:9, (824-834), Online publication date: 1-Sep-2004.
  1996. Peigin S and Epstein B (2004). Embedded Parallelization Approach for Optimization in Aerodynamic Design, The Journal of Supercomputing, 29:3, (243-263), Online publication date: 1-Sep-2004.
  1997. Armentano V and Claudio J (2004). An Application of a Multi-Objective Tabu Search Algorithm to a Bicriteria Flowshop Problem, Journal of Heuristics, 10:5, (463-481), Online publication date: 1-Sep-2004.
  1998. Wilson M, Melhuish C, Sendova-Franks A and Scholes S (2004). Algorithms for Building Annular Structures with Minimalist Robots Inspired by Brood Sorting in Ant Colonies, Autonomous Robots, 17:2-3, (115-136), Online publication date: 1-Sep-2004.
  1999. Green M and Miller R (2004). Evolutionary molecular structure determination using grid-enabled data mining, Parallel Computing, 30:9-10, (1057-1071), Online publication date: 1-Sep-2004.
  2000. Matthias A (2004). The responsibility gap, Ethics and Information Technology, 6:3, (175-183), Online publication date: 1-Sep-2004.
  2001. Duh K and Kirchhoff K Automatic learning of language model structure Proceedings of the 20th international conference on Computational Linguistics, (148-es)
  2002. Shin K, Kim H and Kwon S A GA-based fuzzy decision tree approach for corporate bond rating Proceedings of the 8th Pacific Rim International Conference on Trends in Artificial Intelligence, (505-514)
  2003. Bekmann J and Hoffmann A HeurEAKA Proceedings of the 8th Pacific Rim International Conference on Trends in Artificial Intelligence, (361-372)
  2004. Kargupta H, Ayyagari R and Ghosh S (2004). Learning Functions Using Randomized Genetic Code-Like Transformations, IEEE Transactions on Knowledge and Data Engineering, 16:8, (894-908), Online publication date: 1-Aug-2004.
  2005. Gómez M and Bielza C (2004). Node deletion sequences in influence diagrams using genetic algorithms, Statistics and Computing, 14:3, (181-198), Online publication date: 1-Aug-2004.
  2006. Sekanina L (2004). Evolvable computing by means of evolvable components, Natural Computing: an international journal, 3:3, (253.5-292), Online publication date: 1-Aug-2004.
  2007. Garzon M and Deaton R (2004). Codeword design and information encoding in DNA ensembles, Natural Computing: an international journal, 3:3, (253-292), Online publication date: 1-Aug-2004.
  2008. Aparisi F and García-Díaz J (2004). Optimization of univariate and multivariate exponentially weighted moving-average control charts using genetic algorithms, Computers and Operations Research, 31:9, (1437-1454), Online publication date: 1-Aug-2004.
  2009. ACM
    Fan W, Luo M, Wang L, Xi W and Fox E Tuning before feedback Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval, (138-145)
  2010. Nunes L and Oliveira E Learning from Multiple Sources Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3, (1106-1113)
  2011. ACM
    Baresel A, Binkley D, Harman M and Korel B Evolutionary testing in the presence of loop-assigned flags Proceedings of the 2004 ACM SIGSOFT international symposium on Software testing and analysis, (108-118)
  2012. ACM
    Baresel A, Binkley D, Harman M and Korel B (2004). Evolutionary testing in the presence of loop-assigned flags, ACM SIGSOFT Software Engineering Notes, 29:4, (108-118), Online publication date: 1-Jul-2004.
  2013. Cartier M (2004). An Agent-Based Model of Innovation Emergence in Organizations, Computational & Mathematical Organization Theory, 10:2, (147-153), Online publication date: 1-Jul-2004.
  2014. Kelner V and Léonard O (2004). Application of genetic algorithms to lubrication pump stacking design, Journal of Computational and Applied Mathematics, 168:1, (255-265), Online publication date: 1-Jul-2004.
  2015. Renard A, Krajecki M and Bui A On-Request urban transport parallel optimization Proceedings of the 4th international conference on Innovative Internet Community Systems, (266-275)
  2016. Ramos M, Berro A and Duthen Y Anticipative emergence in environment virtual Proceedings of the 4th international conference on Innovative Internet Community Systems, (129-135)
  2017. Storch T and Wegener I (2004). Real royal road functions for constant population size, Theoretical Computer Science, 320:1, (123-134), Online publication date: 12-Jun-2004.
  2018. ACM
    Kulkarni P, Hines S, Hiser J, Whalley D, Davidson J and Jones D (2004). Fast searches for effective optimization phase sequences, ACM SIGPLAN Notices, 39:6, (171-182), Online publication date: 9-Jun-2004.
  2019. ACM
    Kulkarni P, Hines S, Hiser J, Whalley D, Davidson J and Jones D Fast searches for effective optimization phase sequences Proceedings of the ACM SIGPLAN 2004 conference on Programming language design and implementation, (171-182)
  2020. ACM
    Biswas P, Choudhary V, Atasu K, Pozzi L, Ienne P and Dutt N Introduction of local memory elements in instruction set extensions Proceedings of the 41st annual Design Automation Conference, (729-734)
  2021. Lasarczyk C, Dittrich P and Banzhaf W (2004). Dynamic Subset Selection Based on a Fitness Case Topology, Evolutionary Computation, 12:2, (223-242), Online publication date: 1-Jun-2004.
  2022. Cartlidge J and Bullock S (2004). Combating Coevolutionary Disengagement by Reducing Parasite Virulence, Evolutionary Computation, 12:2, (193-222), Online publication date: 1-Jun-2004.
  2023. ACM
    Lodding K (2004). The Hitchhiker’s Guide to Biomorphic Software, Queue, 2:4, (66-75), Online publication date: 1-Jun-2004.
  2024. Potvin J, Soriano P and Vallée M (2004). Generating trading rules on the stock markets with genetic programming, Computers and Operations Research, 31:7, (1033-1047), Online publication date: 1-Jun-2004.
  2025. Liu H, Gao L and Liu X Generative design in an agent based collaborative design system Proceedings of the 8th international conference on Computer Supported Cooperative Work in Design I, (105-116)
  2026. ACM
    Oroumchian F, Darrudi E, Taghiyareh F and Angoshtari N Experiments with persian text compression for web Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters, (478-479)
  2027. Cahon S, Melab N and Talbi E (2004). ParadisEO, Journal of Heuristics, 10:3, (357-380), Online publication date: 1-May-2004.
  2028. Affenzeller M and Wagner S (2004). SASEGASA, Journal of Heuristics, 10:3, (243-267), Online publication date: 1-May-2004.
  2029. Eklund S (2004). A massively parallel architecture for distributed genetic algorithms, Parallel Computing, 30:5-6, (647-676), Online publication date: 1-May-2004.
  2030. Moore M (2004). An accurate parallel genetic algorithm to schedule tasks on a cluster, Parallel Computing, 30:5-6, (567-583), Online publication date: 1-May-2004.
  2031. Lin C and Chen A (2004). Fuzzy discriminant analysis with outlier detection by genetic algorithm, Computers and Operations Research, 31:6, (877-888), Online publication date: 1-May-2004.
  2032. ACM
    Aldosari S and Moura J Fusion in sensor networks with communication constraints Proceedings of the 3rd international symposium on Information processing in sensor networks, (108-115)
  2033. Ying K and Liao C (2004). An ant colony system for permutation flow-shop sequencing, Computers and Operations Research, 31:5, (791-801), Online publication date: 20-Apr-2004.
  2034. ACM
    Linton R Adapting binary fitness functions in Genetic Algorithms Proceedings of the 42nd annual ACM Southeast Conference, (391-395)
  2035. Simpson R and Halverson R (2004). Landscape smoothing of numerical permutation spaces in genetic algorithms, Journal of Computing Sciences in Colleges, 19:4, (266-272), Online publication date: 1-Apr-2004.
  2036. Doğan A and özgüner F (2004). Genetic Algorithm Based Scheduling of Meta-Tasks with Stochastic Execution Times in Heterogeneous Computing Systemst1, Cluster Computing, 7:2, (177-190), Online publication date: 1-Apr-2004.
  2037. Zomaya A, Patterson D and Olariu S (2004). Sequential and Parallel Meta-Heuristics for Solving the Single Row Routing Problem, Cluster Computing, 7:2, (123-139), Online publication date: 1-Apr-2004.
  2038. Iyer S and Saxena B (2004). Improved genetic algorithm for the permutation flowshop scheduling problem, Computers and Operations Research, 31:4, (593-606), Online publication date: 1-Apr-2004.
  2039. ACM
    Nehab D and Pacheco M Schemata Theory for the real coding and arithmetical operators Proceedings of the 2004 ACM symposium on Applied computing, (1006-1012)
  2040. Schmidhuber J (2004). Optimal Ordered Problem Solver, Machine Language, 54:3, (211-254), Online publication date: 1-Mar-2004.
  2041. Tan K (2004). Book Review, Genetic Programming and Evolvable Machines, 5:1, (107-110), Online publication date: 1-Mar-2004.
  2042. Poli R, McPhee N and Rowe J (2004). Exact Schema Theory and Markov Chain Models for Genetic Programming and Variable-length Genetic Algorithms with Homologous Crossover, Genetic Programming and Evolvable Machines, 5:1, (31-70), Online publication date: 1-Mar-2004.
  2043. Chun H and Wong R (2004). CLSS, Applied Intelligence, 20:2, (179-194), Online publication date: 1-Mar-2004.
  2044. Galea M, Shen Q and Levine J (2004). Evolutionary approaches to fuzzy modelling for classification, The Knowledge Engineering Review, 19:1, (27-59), Online publication date: 1-Mar-2004.
  2045. Fu Y, Yang R and Yeh I (2004). A genetic algorithm for optimal design of an inflatable knee bolster, Structural and Multidisciplinary Optimization, 26:3-4, (264-271), Online publication date: 1-Feb-2004.
  2046. Güyagüler B and Horne R Evolutionary proxy tuning for expensive evaluation functions Metaheuristics, (301-324)
  2047. Drezner Z and Marcoulides G A distance-based selection of parents in genetic algorithms Metaheuristics, (257-278)
  2048. Ortiz-Boyer D, Harvás-Martínez C and Muñoz-Pérez J Study of genetic algorithms with crossover based on confidence intervals as an alternative to classical least squares estimation methods for nonlinear models Metaheuristics, (127-151)
  2049. Jang D, Whigham P and Dick G On evolving fixed pattern strategies for Iterated Prisoner's Dilemma Proceedings of the 27th Australasian conference on Computer science - Volume 26, (241-247)
  2050. Hering J, Innocent P and Haris P Empirical knowledge and genetic algorithms for selection of amide I frequencies in protein secondary structure prediction Proceedings of the second conference on Asia-Pacific bioinformatics - Volume 29, (345-350)
  2051. Zhou Q and Purvis M A market-based rule learning system Proceedings of the second workshop on Australasian information security, Data Mining and Web Intelligence, and Software Internationalisation - Volume 32, (175-180)
  2052. References Grid resource management, (507-566)
  2053. Guo Y, Weng F and Wu L Grammar induction by MDL-based distributional classification New developments in parsing technology, (291-306)
  2054. Liu B and Lai K Stochastic programming models for vehicle routing problems Focus on computational neurobiology, (13-27)
  2055. Downing K (2004). Development and the Baldwin effect, Artificial Life, 10:1, (39-63), Online publication date: 1-Jan-2004.
  2056. Harman M, Hu L, Hierons R, Wegener J, Sthamer H, Baresel A and Roper M (2004). Testability Transformation, IEEE Transactions on Software Engineering, 30:1, (3-16), Online publication date: 1-Jan-2004.
  2057. Kim Y and Moon B (2004). Lock-Gain Based Graph Partitioning, Journal of Heuristics, 10:1, (37-57), Online publication date: 1-Jan-2004.
  2058. Tan K, Wang L, Lee T and Vadakkepat P (2004). Evolvable Hardware in Evolutionary Robotics, Autonomous Robots, 16:1, (5-21), Online publication date: 1-Jan-2004.
  2059. Zhang D, Xu Z, Mechefske C and Xi F (2004). Optimum design of parallel kinematic toolheads with genetic algorithms, Robotica, 22:1, (77-84), Online publication date: 1-Jan-2004.
  2060. Schmitt L (2004). Theory of genetic algorithms II, Theoretical Computer Science, 310:1-3, (181-231), Online publication date: 1-Jan-2004.
  2061. Yan C, Chen G and Shen Y (2004). Outlier analysis for gene expression data, Journal of Computer Science and Technology, 19:1, (13-21), Online publication date: 1-Jan-2004.
  2062. Mantere T Generating test images and halftoning filters with co-evolutionary GA Proceedings of the 2nd WSEAS International Conference on Electronics, Control and Signal Processing, (1-6)
  2063. Ding H, Benyoucef L and Xie X Simulation optimization in manufacturing analysis Proceedings of the 35th conference on Winter simulation: driving innovation, (1260-1267)
  2064. Chidambaran N New simulation methodology for risk analysis Proceedings of the 35th conference on Winter simulation: driving innovation, (285-292)
  2065. Lee S and Cho S (2003). A quantitative analysis of evolvability for an evolutionary fuzzy logic controller, Integrated Computer-Aided Engineering, 10:4, (369-385), Online publication date: 1-Dec-2003.
  2066. Qi D and Sun R (2003). A multi-agent system integrating reinforcement learning, bidding and genetic algorithms, Web Intelligence and Agent Systems, 1:3-4, (187-202), Online publication date: 1-Dec-2003.
  2067. Rothlauf F and Goldberg D (2003). Redundant representations in evolutionary computation, Evolutionary Computation, 11:4, (381-415), Online publication date: 1-Dec-2003.
  2068. Holland J (2003). A derived Markov process for modeling reaction networks, Evolutionary Computation, 11:4, (339-362), Online publication date: 1-Dec-2003.
  2069. Altiparmak F, Dengiz B and Smith A (2003). Optimal Design of Reliable Computer Networks, Journal of Heuristics, 9:6, (471-487), Online publication date: 1-Dec-2003.
  2070. Kaya M and Alhajj R Facilitating Fuzzy Association Rules Mining by Using Multi-Objective Genetic Algorithms for Automated Clustering Proceedings of the Third IEEE International Conference on Data Mining
  2071. Ting C, Li S and Lee C (2003). On the harmonious mating strategy through tabu search, Information Sciences: an International Journal, 156:3-4, (189-214), Online publication date: 15-Nov-2003.
  2072. Pelikan M, Goldberg D and Tsutsui S (2003). Getting the best of both worlds, Information Sciences: an International Journal, 156:3-4, (147-171), Online publication date: 15-Nov-2003.
  2073. Whitley D, Heckendorn R and Stevens S (2003). Hyperplane ranking, nonlinearity and the simple genetic algorithm, Information Sciences: an International Journal, 156:3-4, (123-145), Online publication date: 15-Nov-2003.
  2074. Quintero A and Pierre S (2003). Sequential and multi-population memetic algorithms for assigning cells to switches in mobile networks, Computer Networks: The International Journal of Computer and Telecommunications Networking, 43:3, (247-261), Online publication date: 22-Oct-2003.
  2075. Xu Z, Leung K, Liang Y and Leung Y (2003). Efficiency speed-up strategies for evolutionary computation, Applied Mathematics and Computation, 142:2-3, (341-388), Online publication date: 10-Oct-2003.
  2076. Reynolds R, Kohler T and Kobti Z (2003). The Effects of Generalized Reciprocal Exchange on the Resilience of Social Networks, Computational & Mathematical Organization Theory, 9:3, (227-254), Online publication date: 1-Oct-2003.
  2077. Gras R, Hernandez D, Hernandez P, Zangge N, Mescam Y, Frey J, Martin O, Nicolas J and Appel R (2003). Cooperative Metaheuristics for Exploring Proteomic Data, Artificial Intelligence Review, 20:1-2, (95-120), Online publication date: 1-Oct-2003.
  2078. ACM
    Park Y, Choi H and Kim H Automated negotiation for order transaction of injection mold manufacturer Proceedings of the 5th international conference on Electronic commerce, (488-497)
  2079. Chang C and Lee Z (2003). Applying the double side method of weighted residual for solving circle plate large deformation problems, Applied Mathematics and Computation, 141:2-3, (477-490), Online publication date: 5-Sep-2003.
  2080. Stone C and Bull L (2003). For real! XCS with continuous-valued inputs, Evolutionary Computation, 11:3, (299-336), Online publication date: 1-Sep-2003.
  2081. Llorà X and Goldberg D (2003). Bounding the effect of noise in multiobjective learning classifier systems, Evolutionary Computation, 11:3, (279-298), Online publication date: 1-Sep-2003.
  2082. Butz M, Goldberg D and Tharakunnel K (2003). Analysis and improvement of fitness exploitation in XCS, Evolutionary Computation, 11:3, (239-277), Online publication date: 1-Sep-2003.
  2083. Bernadó-Mansilla E and Garrell-Guiu J (2003). Accuracy-based learning classifier systems, Evolutionary Computation, 11:3, (209-238), Online publication date: 1-Sep-2003.
  2084. ACM
    Blum C and Roli A (2003). Metaheuristics in combinatorial optimization, ACM Computing Surveys, 35:3, (268-308), Online publication date: 1-Sep-2003.
  2085. Shahabi C and Chen Y (2003). An Adaptive Recommendation System without Explicit Acquisition of User Relevance Feedback, Distributed and Parallel Databases, 14:2, (173-192), Online publication date: 1-Sep-2003.
  2086. Bergey P, Ragsdale C and Hoskote M (2003). A decision support system for the electrical power districting problem, Decision Support Systems, 36:1, (1-17), Online publication date: 1-Sep-2003.
  2087. López N, Rodríguez I and Rubio F Defining Meta-Adaptable Living Agents Proceedings of the 2nd IEEE International Conference on Cognitive Informatics
  2088. Mauch H, Melzer M and Hu J Genetic Algorithm Approach for the Closest String Problem Proceedings of the IEEE Computer Society Conference on Bioinformatics
  2089. Stefano C, Cioppa A and Marcelli A Exploiting Reliability for Dynamic Selection of Classifiers by Means of Genetic Algorithms Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
  2090. Maji P, Shaw C, Ganguly N, Sikdar B and Chaudhuri P (2003). Theory and Application of Cellular Automata For Pattern Classification, Fundamenta Informaticae, 58:3-4, (321-354), Online publication date: 1-Aug-2003.
  2091. Weicker K and Weicker N (2003). Basic principles for understanding evolutionary algorithms, Fundamenta Informaticae, 55:3-4, (387-403), Online publication date: 1-Aug-2003.
  2092. Spiegel R, Turner M and McCormick V (2003). Fuzzy-logic-based controllers for efficiency optimization of inverter-fed induction motor drives, Fuzzy Sets and Systems, 137:3, (387-401), Online publication date: 1-Aug-2003.
  2093. Shim Y and Kim C Generating flying creatures using body-brain co-evolution Proceedings of the 2003 ACM SIGGRAPH/Eurographics symposium on Computer animation, (276-285)
  2094. ACM
    Parunak H, Brueckner S, Matthews R and Sauter J How to calm hyperactive agents Proceedings of the second international joint conference on Autonomous agents and multiagent systems, (1092-1093)
  2095. ACM
    Nunes L and Oliveira E Advice-exchange in heterogeneous groups of learning agents Proceedings of the second international joint conference on Autonomous agents and multiagent systems, (1084-1085)
  2096. ACM
    Tsui K and Liu J Multiagent diffusion and distributed optimization Proceedings of the second international joint conference on Autonomous agents and multiagent systems, (169-176)
  2097. Leung K and Liang Y Adaptive elitist-population based genetic algorithm for multimodal function optimization Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI, (1160-1171)
  2098. Kim Y and Moon B New usage of Sammon's mapping for genetic visualization Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI, (1136-1147)
  2099. Kim Y, Kwon Y and Moon B Problem-independent schema synthesis for genetic algorithms Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI, (1112-1122)
  2100. Huang C Using an immune system model to explore mate selection in genetic algorithms Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI, (1041-1052)
  2101. Furutani H Schema analysis of average fitness in multiplicative landscape Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI, (934-947)
  2102. Droste S Analysis of the (1+1) EA for a dynamically bitwise changing ONEMAX Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI, (909-921)
  2103. Contreras A, Rowe J and Stephens C Coarse-graining in genetic algorithms Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI, (874-885)
  2104. Chen Y and Goldberg D Tightness time for the linkage learning genetic algorithm Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI, (837-849)
  2105. Chen Y and Goldberg D An analysis of a reordering operator with tournament selection on a GA-hard problem Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI, (825-836)
  2106. Acan A and Tekol Y Chromosome reuse in genetic algorithms Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI, (695-705)
  2107. Seo D and Moon B A hybrid genetic algorithm based on complete graph representation for the sequential ordering problem Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI, (669-680)
  2108. Berger J and Barkaoui M A hybrid genetic algorithm for the capacitated vehicle routing problem Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI, (646-656)
  2109. Lee S, Kim Y and Moon B Finding the optimal gene order in displaying microarray data Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII, (2215-2226)
  2110. Kim Y, Lee S and Moon B Optimizing the order of taxon addition in phylogenetic tree construction using genetic algorithm Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII, (2168-2178)
  2111. Chen P, Fu Z, Lim A and Rodrigues B The general yard allocation problem Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII, (1986-1997)
  2112. Tharakunnel K, Butz M and Goldberg D Towards building block propagation in XCS Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII, (1906-1917)
  2113. Butz M, Sastry K and Goldberg D Tournament selection Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII, (1857-1869)
  2114. Butz M and Goldberg D Bounding the population size in XCS to ensure reproductive opportunities Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII, (1844-1856)
  2115. Bacardit J and Garrell J Evolving multiple discretizations with adaptive intervals for a Pittsburgh rule-based learning classifier system Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII, (1818-1831)
  2116. Lim A, Rodrigues B and Xiao F Integrated genetic algorithm with hill climbing for bandwidth minimization problem Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII, (1594-1595)
  2117. Xiao N and Armstrong M A specialized island model and its application in multiobjective optimization Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII, (1530-1540)
  2118. Toussaint M The structure of evolutionary exploration Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII, (1444-1456)
  2119. Streeter M Two broad classes of functions for which a no free lunch result does not hold Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII, (1418-1430)
  2120. Stephens C and Zamora A EC theory Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII, (1394-1405)
  2121. Seo D and Moon B A survey on chromosomal structures and operators for exploiting topological linkages of genes Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII, (1357-1368)
  2122. Seo D, Kim Y and Moon B New entropy-based measures of gene significance and epistasis Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII, (1345-1356)
  2123. Rodriguez-Tello E and Torres-Jimenez J ERA Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII, (1283-1294)
  2124. Orǎsan C An evolutionary approach for improving the quality of automatic summaries Proceedings of the ACL 2003 workshop on Multilingual summarization and question answering - Volume 12, (37-45)
  2125. ACM
    Kulkarni P, Zhao W, Moon H, Cho K, Whalley D, Davidson J, Bailey M, Paek Y and Gallivan K (2003). Finding effective optimization phase sequences, ACM SIGPLAN Notices, 38:7, (12-23), Online publication date: 11-Jul-2003.
  2126. Staab S, Heylighen F, Gershenson C, Flake G, Pennock D, Fain D, De Roure D, Aberer K, Shen W, Dousse O and Thiran P (2003). Neurons, Viscose Fluids, Freshwater Polyp Hydra-and Self-Organizing Information Systems, IEEE Intelligent Systems, 18:4, (72-86), Online publication date: 1-Jul-2003.
  2127. Sakawa M and Kato K An interactive fuzzy satisfying method for multiobjective nonlinear integer programming problems through genetic algorithms Proceedings of the 10th international fuzzy systems association World Congress conference on Fuzzy sets and systems, (710-717)
  2128. Cordón O, Damas S and Santamaría J A CHC evolutionary algorithm for 3d image registration Proceedings of the 10th international fuzzy systems association World Congress conference on Fuzzy sets and systems, (404-411)
  2129. Pacheco J and Valencia O (2003). Design of hybrids for the minimum sum-of-squares clustering problem, Computational Statistics & Data Analysis, 43:2, (235-248), Online publication date: 28-Jun-2003.
  2130. Stahl A and Gabel T Using evolution programs to learn local similarity measures Proceedings of the 5th international conference on Case-based reasoning: Research and Development, (537-551)
  2131. ACM
    Ye T and Kalyanaraman S A recursive random search algorithm for large-scale network parameter configuration Proceedings of the 2003 ACM SIGMETRICS international conference on Measurement and modeling of computer systems, (196-205)
  2132. ACM
    Kulkarni P, Zhao W, Moon H, Cho K, Whalley D, Davidson J, Bailey M, Paek Y and Gallivan K Finding effective optimization phase sequences Proceedings of the 2003 ACM SIGPLAN conference on Language, compiler, and tool for embedded systems, (12-23)
  2133. ACM
    Ye T and Kalyanaraman S (2003). A recursive random search algorithm for large-scale network parameter configuration, ACM SIGMETRICS Performance Evaluation Review, 31:1, (196-205), Online publication date: 10-Jun-2003.
  2134. ACM
    Alkemade F, La Poutrè H and Amman H Intermediaries in an electronic trade network [Extended Abstract] Proceedings of the 4th ACM conference on Electronic commerce, (200-201)
  2135. Drias H, Taibi A and Zekour S Cooperative ant colonies for solving the maximum weighted satisfiability problem Proceedings of the Artificial and natural neural networks 7th international conference on Computational methods in neural modeling - Volume 1, (446-453)
  2136. Mohr J and Li X Computational challenges in multiple wavetable interpolation synthesis Proceedings of the 1st international conference on Computational science: PartI, (447-456)
  2137. Oguz C, Fung Y, Ercan M and Qi X Parallel genetic algorithm for a flow-shop problem with multiprocessor tasks Proceedings of the 2003 international conference on Computational science: PartIII, (548-559)
  2138. Yang Z and Liu G 3D protein peptide chain search using an improved genetic algorithm Proceedings of the 2003 international conference on Computational science and its applications: PartI, (322-329)
  2139. Oh S, Yun J and Chung S (2003). A quadratic approximation for protein sequence to structure mapping, The Korean Journal of Computational & Applied Mathematics, 12:1-2, (155-164), Online publication date: 1-May-2003.
  2140. Maji P, Shaw C, Ganguly N, Sikdar B and Chaudhuri P (2003). Theory and application of cellular automata for pattern classification, Fundamenta Informaticae, 58:3-4, (321-354), Online publication date: 1-May-2003.
  2141. Poli R and McPhee N (2003). General schema theory for genetic programming with subtree-swapping crossover: Part II, Evolutionary Computation, 11:2, (169-206), Online publication date: 1-May-2003.
  2142. Toffolo A and Benini E (2003). Genetic diversity as an objective in multi-objective evolutionary algorithms, Evolutionary Computation, 11:2, (151-167), Online publication date: 1-May-2003.
  2143. Wiles J and Tonkes B (2003). Mapping the royal road and other hierarchical functions, Evolutionary Computation, 11:2, (129-149), Online publication date: 1-May-2003.
  2144. Tan K, Khor E, Lee T and Yang Y (2003). A Tabu-Based Exploratory Evolutionary Algorithmfor Multiobjective Optimization, Artificial Intelligence Review, 19:3, (231-260), Online publication date: 1-May-2003.
  2145. Drechsler R and Drechsler N GAME-HDL Proceedings of the 2003 international conference on Applications of evolutionary computing, (378-387)
  2146. Boumaza A and Louchet J Mobile robot sensor fusion using flies Proceedings of the 2003 international conference on Applications of evolutionary computing, (357-367)
  2147. Rowland J Generalisation and model selection in supervised learning with evolutionary computation Proceedings of the 2003 international conference on Applications of evolutionary computing, (119-130)
  2148. Smith M and Bull L Feature construction and selection using genetic programming and a genetic algorithm Proceedings of the 6th European conference on Genetic programming, (229-237)
  2149. Alfonseca E and Rodríguez P Generating extracts with genetic algorithms Proceedings of the 25th European conference on IR research, (511-519)
  2150. Kort S Schemata-driven multi-objective optimization Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization, (192-206)
  2151. Araújo S, Mesquita A and Pedroza A Using genetic programming and high level synthesis to design optimized datapath Proceedings of the 5th international conference on Evolvable systems: from biology to hardware, (434-445)
  2152. Azhar M and Dimond K Hardware implementation of a genetic controller and effects of training on evolution Proceedings of the 5th international conference on Evolvable systems: from biology to hardware, (344-354)
  2153. Ortega-Sanchez C, Torres-Jimenez J and Morales-Cruz J Routing of embryonic arrays using genetic algorithms Proceedings of the 5th international conference on Evolvable systems: from biology to hardware, (249-261)
  2154. Garvie M and Thompson A Evolution of self-diagnosing hardware Proceedings of the 5th international conference on Evolvable systems: from biology to hardware, (238-248)
  2155. Downing K Developmental models for emergent computation Proceedings of the 5th international conference on Evolvable systems: from biology to hardware, (105-116)
  2156. ACM
    Auyeung A, Gondra I and Dai H Multi-heuristic list scheduling genetic algorithm for task scheduling Proceedings of the 2003 ACM symposium on Applied computing, (721-724)
  2157. ACM
    Gondra I and Samadzadeh M A coarse-grain parallel genetic algorithm for finding Ramsey Numbers Proceedings of the 2003 ACM symposium on Applied computing, (2-8)
  2158. ACM
    Gréwal G, Wilson T and Morton A (2003). An EGA approach to the compile-time assignment of data to multiple memories in digital-signal processors, ACM SIGARCH Computer Architecture News, 31:1, (49-59), Online publication date: 1-Mar-2003.
  2159. Gotts N, Polhill J and Law A (2003). Agent-Based Simulation in the Study of Social Dilemmas, Artificial Intelligence Review, 19:1, (3-92), Online publication date: 1-Mar-2003.
  2160. Alcalá R, Benítez J, Casillas J, Cordón O and Pérez R (2003). Fuzzy Control of HVAC Systems Optimized by Genetic Algorithms, Applied Intelligence, 18:2, (155-177), Online publication date: 1-Mar-2003.
  2161. Cotta C and Troya J (2003). Embedding Branch and Bound within Evolutionary Algorithms, Applied Intelligence, 18:2, (137-153), Online publication date: 1-Mar-2003.
  2162. Pierreval H, Caux C, Paris J and Viguier F (2003). Evolutionary approaches to the design and organization of manufacturing systems, Computers and Industrial Engineering, 44:3, (339-364), Online publication date: 1-Mar-2003.
  2163. Subrata R and Zomaya A (2003). A Comparison of Three Artificial Life Techniques for Reporting Cell Planning in Mobile Computing, IEEE Transactions on Parallel and Distributed Systems, 14:2, (142-153), Online publication date: 1-Feb-2003.
  2164. Ringhut E and Kooths S (2003). Modeling Expectations with GENEFER – an Artificial Intelligence Approach, Computational Economics, 21:1-2, (173-194), Online publication date: 1-Feb-2003.
  2165. Chen C, Lin R and Zhang J (2003). Genetic algorithms for MD-optimal follow-up designs, Computers and Operations Research, 30:2, (233-252), Online publication date: 1-Feb-2003.
  2166. Ip W, Huang M, Yung K and Wang D (2003). Genetic algorithm solution for a risk-based partner selection problem in a virtual enterprise, Computers and Operations Research, 30:2, (213-231), Online publication date: 1-Feb-2003.
  2167. Sinka M and Corne D Evolving better stoplists for document clustering and web intelligence Design and application of hybrid intelligent systems, (1015-1023)
  2168. Köppen M and Dimitriadou E Concurrent application of genetic algorithm in pattern recognition Design and application of hybrid intelligent systems, (868-877)
  2169. Unold O and Dabrowski G Use of learning classifier system for inferring natural language grammar Design and application of hybrid intelligent systems, (272-278)
  2170. Yang S PDGA Design and application of hybrid intelligent systems, (214-223)
  2171. Seng K and Tse K Evolutionary learning of fuzzy neural network using a modified genetic algorithm Design and application of hybrid intelligent systems, (175-181)
  2172. Skabar A A GA-based neural network weight optimization technique for semi-supervised classifier learning Design and application of hybrid intelligent systems, (139-146)
  2173. Berthold M and Hand D References Intelligent data analysis, (475-500)
  2174. Lanzi P and Riolo R Recent trends in learning classifier systems research Advances in evolutionary computing, (955-988)
  2175. Schulze-Kremer S Application of evolutionary computation to protein folding Advances in evolutionary computing, (915-940)
  2176. Yoshihara I Scheduling of bus driver's service by a genetic algorithm Advances in evolutionary computing, (799-817)
  2177. Dorndorf U, Pesch E and Huy T Machine learning by schedule decomposition Advances in evolutionary computing, (773-798)
  2178. Cohoon J, Karro J and Lienig J Evolutionary algorithms for the physical design of VLSI circuits Advances in evolutionary computing, (683-711)
  2179. Sen S, Debnath S and Mundhe M Evolving coordinated agents Advances in evolutionary computing, (559-577)
  2180. Carbonaro A and Maniezzo V The Ant Colony Optimization paradigm for combinatorial optimization Advances in evolutionary computing, (539-557)
  2181. Ray T An evolutionary approach to synthetic biology Advances in evolutionary computing, (479-517)
  2182. Kumar S and Bentley P Computational embryology Advances in evolutionary computing, (461-477)
  2183. Maley C Evolutionary computation for evolutionary theory Advances in evolutionary computing, (441-460)
  2184. Aizawa A Designed sampling with crossover operators Advances in evolutionary computing, (413-439)
  2185. Spears W and Gordon-Spears D Evolution of strategies for resource protection problems Advances in evolutionary computing, (367-392)
  2186. Kargupta H Gene expression and scalable genetic search Advances in evolutionary computing, (293-319)
  2187. Sawai H, Adachi S and Kizu S New schemes of biologically inspired evolutionary computation Advances in evolutionary computing, (117-151)
  2188. Huber S and Bülthoff H Visuomotor control in flies and behavior - based agents Biologically inspired robot behavior engineering, (89-117)
  2189. Nunes L and Oliveira E Cooperative learning using advice exchange Adaptive agents and multi-agent systems, (33-48)
  2190. Tan K, Khor E, Lee T and Sathikannan R (2003). An evolutionary algorithm with advanced goal and priority specification for multi-objective optimization, Journal of Artificial Intelligence Research, 18:1, (183-215), Online publication date: 1-Jan-2003.
  2191. Mitchell M Genetic algorithms Encyclopedia of Computer Science, (747-748)
  2192. Liekens A Artificial life Encyclopedia of Computer Science, (93-96)
  2193. Schell T and Uhl A (2003). Optimization and assessment of wavelet packet decompositions with evolutionary computation, EURASIP Journal on Advances in Signal Processing, 2003, (806-813), Online publication date: 1-Jan-2003.
  2194. de Faissol Attux R, Loiola M, Suyama R, de Castro L, Von Zuben F and Romano J (2003). Blind search for optimal Wiener equalizers using an artificial immune network model, EURASIP Journal on Advances in Signal Processing, 2003, (740-747), Online publication date: 1-Jan-2003.
  2195. Riionheimo J and Välimäki V (2003). Parameter estimation of a plucked string synthesis model using a genetic algorithm with perceptual fitness calculation, EURASIP Journal on Advances in Signal Processing, 2003, (791-805), Online publication date: 1-Jan-2003.
  2196. Selouani S and O'Shaughnessy D (2003). On the use of evolutionary algorithms to improve the robustness of continuous speech recognition systems in adverse conditions, EURASIP Journal on Advances in Signal Processing, 2003, (814-823), Online publication date: 1-Jan-2003.
  2197. Poli R and Cagnoni S (2003). Editorial, EURASIP Journal on Advances in Signal Processing, 2003, (733-739), Online publication date: 1-Jan-2003.
  2198. Subrata R and Zomaya A (2003). Evolving Cellular Automata for Location Management in Mobile Computing Networks, IEEE Transactions on Parallel and Distributed Systems, 14:1, (13-26), Online publication date: 1-Jan-2003.
  2199. Meseguer P, Bouhmala N, Bouzoubaa T, Irgens M and Sánchez M (2003). Current Approaches for Solving Over-Constrained Problems, Constraints, 8:1, (9-39), Online publication date: 1-Jan-2003.
  2200. Pointcheval D and Poupard G (2003). A New \mathcal{NP} -Complete Problem and Public-Key Identification, Designs, Codes and Cryptography, 28:1, (5-31), Online publication date: 1-Jan-2003.
  2201. Tsukimoto H and Hatano H (2003). The functional localization of neural networks using genetic algorithms, Neural Networks, 16:1, (55-67), Online publication date: 1-Jan-2003.
  2202. ACM
    Neri F (2002). Relational concept learning by cooperative evolution, ACM Journal of Experimental Algorithmics, 7, (12), Online publication date: 31-Dec-2003.
  2203. Chen C, Hung C and Lee Z (2002). Double side approach method to obtain solutions for transient nonlinear heat conduction using genetic algorithms, Applied Mathematics and Computation, 133:2-3, (431-444), Online publication date: 15-Dec-2002.
  2204. Yang S Adaptive crossover in genetic algorithms using statistics mechanism Proceedings of the eighth international conference on Artificial life, (182-185)
  2205. Channon A Improving and still passing the ALife test Proceedings of the eighth international conference on Artificial life, (173-181)
  2206. Suzuki H and Sawai H Chemical genetic algorithms Proceedings of the eighth international conference on Artificial life, (164-172)
  2207. Thomas D Aesthetic selection of developmental art forms Proceedings of the eighth international conference on Artificial life, (157-163)
  2208. Bilotta E, Lafusa A and Pantano P Is self-replication an embedded characteristic of artificial/living matter? Proceedings of the eighth international conference on Artificial life, (38-48)
  2209. Magoulas G, Eldabi T and Paul R General methodology 3 Proceedings of the 34th conference on Winter simulation: exploring new frontiers, (1978-1985)
  2210. Joines J, Gupta D, Gokce M, King R and Kay M Maufacturing supply chain applications 1 Proceedings of the 34th conference on Winter simulation: exploring new frontiers, (1306-1314)
  2211. Heckendorn R (2002). Embedded landscapes, Evolutionary Computation, 10:4, (345-369), Online publication date: 1-Dec-2002.
  2212. ACM
    Wick M and Phillips A (2002). Comparing the template method and strategy design patterns in a genetic algorithm application, ACM SIGCSE Bulletin, 34:4, (76-80), Online publication date: 1-Dec-2002.
  2213. Krawiec K (2002). Genetic Programming-based Construction of Features for Machine Learning and Knowledge Discovery Tasks, Genetic Programming and Evolvable Machines, 3:4, (329-343), Online publication date: 1-Dec-2002.
  2214. Van Dijk S, Thierens D and De Berg M (2002). Using Genetic Algorithms for Solving Hard Problems in GIS, Geoinformatica, 6:4, (381-413), Online publication date: 1-Dec-2002.
  2215. Liu J and Qin H (2002). Behavioral Self-Organization in Lifelike Synthetic Agents, Autonomous Agents and Multi-Agent Systems, 5:4, (397-428), Online publication date: 1-Dec-2002.
  2216. Vilalta R and Drissi Y (2002). A perspective view and survey of meta-learning, Artificial Intelligence Review, 18:2, (77-95), Online publication date: 1-Oct-2002.
  2217. Šprogar M, Lenič M and Alayon S (2002). Evolution in Medical Decision Making, Journal of Medical Systems, 26:5, (479-489), Online publication date: 1-Oct-2002.
  2218. Beyer H, Schwefel H and Wegener I (2002). How to analyse evolutionary algorithms, Theoretical Computer Science, 287:1, (101-130), Online publication date: 25-Sep-2002.
  2219. Naudts B and Schoofs L (2002). GA performance distributions and randomly generated binary constraint satisfaction problems, Theoretical Computer Science, 287:1, (167-185), Online publication date: 25-Sep-2002.
  2220. Tuci E, Harvey I and Todd P Using a net to catch a mate Proceedings of the seventh international conference on simulation of adaptive behavior on From animals to animats, (292-302)
  2221. Loh G and Henry D Predicting Conditional Branches With Fusion-Based Hybrid Predictors Proceedings of the 2002 International Conference on Parallel Architectures and Compilation Techniques
  2222. Weicker K and Weicker N (2002). Basic principles for understanding evolutionary algorithms, Fundamenta Informaticae, 55:3-4, (387-403), Online publication date: 1-Sep-2002.
  2223. Kvasnička V and Pospíchal J (2002). Emergence of modularity in genotype-phenotype mappings, Artificial Life, 8:4, (295-310), Online publication date: 1-Sep-2002.
  2224. Li J, Balazs M, Parks G and Clarkson P (2002). A species conserving genetic algorithm for multimodal function optimization, Evolutionary Computation, 10:3, (207-234), Online publication date: 1-Sep-2002.
  2225. Zomaya A and Wright M (2002). Observations on Using Genetic-Algorithms for Channel Allocation in Mobile Computing, IEEE Transactions on Parallel and Distributed Systems, 13:9, (948-962), Online publication date: 1-Sep-2002.
  2226. Veenman C, Reinders M and Backer E (2002). A Maximum Variance Cluster Algorithm, IEEE Transactions on Pattern Analysis and Machine Intelligence, 24:9, (1273-1280), Online publication date: 1-Sep-2002.
  2227. Kargupta H and Ghosh S (2002). Toward Machine Learning Through Genetic Code-like Transformations, Genetic Programming and Evolvable Machines, 3:3, (231-258), Online publication date: 1-Sep-2002.
  2228. Błażewicz J, Kasprzak M and Kuroczycki W (2002). Hybrid Genetic Algorithm for DNA Sequencing with Errors, Journal of Heuristics, 8:5, (495-502), Online publication date: 1-Sep-2002.
  2229. Talbi E (2002). A Taxonomy of Hybrid Metaheuristics, Journal of Heuristics, 8:5, (541-564), Online publication date: 1-Sep-2002.
  2230. Aickelin U and Dowsland K (2002). Enhanced Direct and Indirect Genetic Algorithm Approaches for a Mall Layout and Tenant Selection Problem, Journal of Heuristics, 8:5, (503-514), Online publication date: 1-Sep-2002.
  2231. Kethley R and Alidaee B (2002). Single machine scheduling to minimize total weighted late work, Computers and Industrial Engineering, 43:3, (509-528), Online publication date: 1-Sep-2002.
  2232. Alba E, Nebro A and Troya J (2002). Heterogeneous computing and parallel genetic algorithms, Journal of Parallel and Distributed Computing, 62:9, (1362-1385), Online publication date: 1-Sep-2002.
  2233. Cooper K, Subramanian D and Torczon L (2002). Adaptive Optimizing Compilers for the 21st Century, The Journal of Supercomputing, 23:1, (7-22), Online publication date: 1-Aug-2002.
  2234. Vera X, Llosa J and González A Near-optimal padding for removing conflict misses Proceedings of the 15th international conference on Languages and Compilers for Parallel Computing, (329-343)
  2235. ACM
    Iyengar V Transforming data to satisfy privacy constraints Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining, (279-288)
  2236. ACM
    Lorenz M, Wehmeyer L and Dräger T (2002). Energy aware compilation for DSPs with SIMD instructions, ACM SIGPLAN Notices, 37:7, (94-101), Online publication date: 17-Jul-2002.
  2237. ACM
    Said L, Bouron T and Drogoul A Agent-based interaction analysis of consumer behavior Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1, (184-190)
  2238. ACM
    Droettboom M, Fujinaga I, MacMillan K, Chouhury G, DiLauro T, Patton M and Anderson T Using the Gamera framework for the recognition of cultural heritage materials Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries, (11-17)
  2239. ACM
    Lorenz M, Wehmeyer L and Dräger T Energy aware compilation for DSPs with SIMD instructions Proceedings of the joint conference on Languages, compilers and tools for embedded systems: software and compilers for embedded systems, (94-101)
  2240. Trafalis T and Kasap S (2002). A novel metaheuristics approach for continuous global optimization, Journal of Global Optimization, 23:2, (171-190), Online publication date: 1-Jun-2002.
  2241. Wu A and Garibay I (2002). The Proportional Genetic Algorithm, Genetic Programming and Evolvable Machines, 3:2, (157-192), Online publication date: 1-Jun-2002.
  2242. Ferentinos K, Arvanitis K and Sigrimis N (2002). Heuristic optimization methods for motion planning of autonomous agricultural vehicles, Journal of Global Optimization, 23:2, (155-170), Online publication date: 1-Jun-2002.
  2243. ACM
    Palesi M and Givargis T Multi-objective design space exploration using genetic algorithms Proceedings of the tenth international symposium on Hardware/software codesign, (67-72)
  2244. Kostenko V (2002). The Problem of Schedule Construction in the Joint Design of Hardware and Software, Programming and Computing Software, 28:3, (162-173), Online publication date: 1-May-2002.
  2245. Beyer H and Schwefel H (2002). Evolution strategies –A comprehensive introduction, Natural Computing: an international journal, 1:1, (3-52), Online publication date: 1-May-2002.
  2246. García-López F, Melián-Batista B, Moreno-Pérez J and Moreno-Vega J (2002). The Parallel Variable Neighborhood Search for the p-Median Problem, Journal of Heuristics, 8:3, (375-388), Online publication date: 1-May-2002.
  2247. Kirley M (2002). A Cellular Genetic Algorithm with Disturbances, Journal of Heuristics, 8:3, (321-342), Online publication date: 1-May-2002.
  2248. Auer P, Cesa-Bianchi N and Fischer P (2002). Finite-time Analysis of the Multiarmed Bandit Problem, Machine Language, 47:2-3, (235-256), Online publication date: 1-May-2002.
  2249. Jaramillo J, Bhadury J and Batta R (2002). On the use of genetic algorithms to solve location problems, Computers and Operations Research, 29:6, (761-779), Online publication date: 1-May-2002.
  2250. Kim E, Park S, Hwang S and Kim H (2002). Video sequence segmentation using genetic algorithms, Pattern Recognition Letters, 23:7, (843-863), Online publication date: 1-May-2002.
  2251. Subrata R and Zomaya A Artificial Life Techniques for Reporting Cell Planning in Mobile Computing Proceedings of the 16th International Parallel and Distributed Processing Symposium
  2252. Fredj E Real Time Interactive Visualization System for Flexible Molecular Docking Proceedings of the 16th International Parallel and Distributed Processing Symposium
  2253. Fredj E Real Time Interactive Visualization System for Flexible Molecular Docking Proceedings of the 16th International Parallel and Distributed Processing Symposium
  2254. Alba E and Troya J (2002). Improving flexibility and efficiency by adding parallelism to genetic algorithms, Statistics and Computing, 12:2, (91-114), Online publication date: 1-Apr-2002.
  2255. Tesfatsion L (2002). Agent-Based Computational Economics: Growing Economies From the Bottom Up, Artificial Life, 8:1, (55-82), Online publication date: 31-Mar-2002.
  2256. ACM
    Álvarez J, Mata J and Riquelme J Mining interesting regions using an evolutionary algorithm Proceedings of the 2002 ACM symposium on Applied computing, (498-502)
  2257. ACM
    Alfonseca M and de Lara J Simulating evolutionary agent communities with OOCSMP Proceedings of the 2002 ACM symposium on Applied computing, (11-15)
  2258. Smith T, Husbands P, Layzell P and O'Shea M (2002). Fitness landscapes and evolvability, Evolutionary Computation, 10:1, (1-34), Online publication date: 1-Mar-2002.
  2259. Li T and Payandeh S (2002). Design of spherical parallel mechanisms for application to laparoscopic surgery, Robotica, 20:2, (133-138), Online publication date: 1-Mar-2002.
  2260. Westerdale T (2002). Minimality of an Automaton Cascade Decomposition for Learning System Environments, Journal of Computer and System Sciences, 64:2, (284-307), Online publication date: 1-Mar-2002.
  2261. Bartolomeo P, Pagliarini L and Parisi D (2002). Emergence of Orienting Behavior in Ecological Neural Networks, Neural Processing Letters, 15:1, (69-76), Online publication date: 1-Feb-2002.
  2262. Coit D and Smith A (2002). Genetic algorithm to maximize a lower-bound for system time-to-failure with uncertain component Weibull parameters, Computers and Industrial Engineering, 41:4, (423-440), Online publication date: 1-Feb-2002.
  2263. Kapoor N, Russell M, Stojmenovic I and Zomaya A (2002). A Genetic Algorithm for Finding the Pagenumber of Interconnection Networks, Journal of Parallel and Distributed Computing, 62:2, (267-283), Online publication date: 1-Feb-2002.
  2264. Loia V and Sessa S A soft computing framework for adaptive agents Soft computing agents, (191-219)
  2265. Franklin S "Conscious" software Soft computing agents, (1-45)
  2266. Machado P and Cardoso A (2002). All the Truth About NEvAr, Applied Intelligence, 16:2, (101-118), Online publication date: 7-Jan-2002.
  2267. Janssen P, Frazer J and Ming-xi T (2002). Evolutionary Design Systems and Generative Processes, Applied Intelligence, 16:2, (119-128), Online publication date: 7-Jan-2002.
  2268. Zhang W Search techniques Handbook of data mining and knowledge discovery, (169-184)
  2269. de Campos L and Huete J Stochastic algorithms for searching causal orderings in Bayesian networks Technologies for constructing intelligent systems, (327-340)
  2270. Tracey N, Clark J, McDermid J and Mander K A search-based automated test-data generation framework for safety-critical systems Systems engineering for business process change, (174-213)
  2271. Liu J and Wu J Collective behavior evolution in a group of cooperating agents Intelligent agents and their applications, (173-216)
  2272. Skabar A and Cloete I (2002). Neural networks, financial trading and the efficient markets hypothesis, Australian Computer Science Communications, 24:1, (241-249), Online publication date: 1-Jan-2002.
  2273. Skabar A and Cloete I Neural networks, financial trading and the efficient markets hypothesis Proceedings of the twenty-fifth Australasian conference on Computer science - Volume 4, (241-249)
  2274. Wierzchoń S Deriving a concise description of non-self patterns in an aritificial immune system New learning paradigms in soft computing, (438-464)
  2275. Smith K (2002). Natural selection and cultural selection in the evolution of communication, Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems, 10:1, (25-44), Online publication date: 1-Jan-2002.
  2276. Wood G, Alexander D and Bulger D (2002). Approximation of the distribution of convergence times for stochastic global optimisation, Journal of Global Optimization, 22:1-4, (271-284), Online publication date: 1-Jan-2002.
  2277. Pelikan M, Goldberg D and Lobo F (2002). A Survey of Optimization by Building and Using Probabilistic Models, Computational Optimization and Applications, 21:1, (5-20), Online publication date: 1-Jan-2002.
  2278. Bhatt G and Zaveri J (2002). The enabling role of decision support systems in organizational learning, Decision Support Systems, 32:3, (297-309), Online publication date: 1-Jan-2002.
  2279. Louchet J, Guyon M, Lesot M and Boumaza A (2002). Dynamic flies, Pattern Recognition Letters, 23:1-3, (335-345), Online publication date: 1-Jan-2002.
  2280. Hedlund H and Mollaghasemi M A genetic algorithm and an indifference-zone ranking and selection framework for simulation optimization Proceedings of the 33nd conference on Winter simulation, (417-421)
  2281. Myers R and Hancock E (2001). Empirical Modelling of Genetic Algorithms, Evolutionary Computation, 9:4, (461-493), Online publication date: 1-Dec-2001.
  2282. Michael C, McGraw G and Schatz M (2001). Generating Software Test Data by Evolution, IEEE Transactions on Software Engineering, 27:12, (1085-1110), Online publication date: 1-Dec-2001.
  2283. (2001). The problem of survival from an algorithm point of view, Artificial Intelligence, 133:1-2, (87-116), Online publication date: 1-Dec-2001.
  2284. Hong T, Wang H, Lin W and Lee W (2001). Evolution of Appropriate Crossover and Mutation Operators in a Genetic Process, Applied Intelligence, 16:1, (7-17), Online publication date: 20-Nov-2001.
  2285. Park B, Kargupta H, Johnson E, Sanseverino E, Hershberger D and Silvestre L (2001). Distributed, Collaborative Data Analysis from Heterogeneous Sites Using a Scalable Evolutionary Technique, Applied Intelligence, 16:1, (19-42), Online publication date: 20-Nov-2001.
  2286. Krasnicki M, Phelps R, Hellums J, McClung M, Rutenbar R and Carley L ASF Proceedings of the 2001 IEEE/ACM international conference on Computer-aided design, (350-357)
  2287. ACM
    Harman M and Jones B (2001). The SEMINAL workshop, ACM SIGSOFT Software Engineering Notes, 26:6, (62-66), Online publication date: 1-Nov-2001.
  2288. Krishnamoorthy M, Ernst A and Sharaiha Y (2001). Comparison of Algorithms for the Degree Constrained Minimum Spanning Tree, Journal of Heuristics, 7:6, (587-611), Online publication date: 1-Nov-2001.
  2289. French A, Robinson A and Wilson J (2001). Using a Hybrid Genetic-Algorithm/Branch and Bound Approach to Solve Feasibility and Optimization Integer Programming Problems, Journal of Heuristics, 7:6, (551-564), Online publication date: 1-Nov-2001.
  2290. ACM
    Gazzale R and MacKie-Mason J Endogenous differentiation of information goods under uncertainty Proceedings of the 3rd ACM conference on Electronic Commerce, (75-84)
  2291. Lingras P (2001). Unsupervised Rough Set Classification Using GAs, Journal of Intelligent Information Systems, 16:3, (215-228), Online publication date: 5-Oct-2001.
  2292. Fazlollahi B and Vahidov R (2001). A Method for Generation of Alternatives by Decision Support Systems, Journal of Management Information Systems, 18:2, (229-250), Online publication date: 1-Oct-2001.
  2293. Rivera W (2001). Scalable Parallel Genetic Algorithms, Artificial Intelligence Review, 16:2, (153-168), Online publication date: 1-Oct-2001.
  2294. Wiese K and Goodwin S (2001). Keep-Best Reproduction, Constraints, 6:4, (399-422), Online publication date: 1-Oct-2001.
  2295. Van Nimwegen E and Crutchfield J (2001). Optimizing Epochal Evolutionary Search, Machine Language, 45:1, (77-114), Online publication date: 1-Oct-2001.
  2296. Barrios D, Manrique D, Plaza M and Ríos J (2001). An Algebraic Model for Generating and Adapting Neural Networks by Means of Optimization Methods, Annals of Mathematics and Artificial Intelligence, 33:1, (93-111), Online publication date: 21-Sep-2001.
  2297. Sanza C, Heguy O and Duthen Y Evolution and cooperation of virtual entities with classifier systems Proceedings of the Eurographic workshop on Computer animation and simulation, (183-194)
  2298. Hong T, Huang K and Lin W (2001). Adversarial Search by Evolutionary Computation, Evolutionary Computation, 9:3, (371-385), Online publication date: 1-Sep-2001.
  2299. Vose M and Wright A (2001). Form Invariance and Implicit Parallelism, Evolutionary Computation, 9:3, (355-370), Online publication date: 1-Sep-2001.
  2300. Lorena L and Furtado J (2001). Constructive Genetic Algorithm for Clustering Problems, Evolutionary Computation, 9:3, (309-327), Online publication date: 1-Sep-2001.
  2301. Westerdale T (2001). Local Reinforcement and Recombination in Classifier Systems, Evolutionary Computation, 9:3, (259-281), Online publication date: 1-Sep-2001.
  2302. Zomaya A and Teh Y (2001). Observations on Using Genetic Algorithms for Dynamic Load-Balancing, IEEE Transactions on Parallel and Distributed Systems, 12:9, (899-911), Online publication date: 1-Sep-2001.
  2303. Park J, Kanitkar V and Delis A (2001). Logically Clustered Architectures for Networked Databases, Distributed and Parallel Databases, 10:2, (161-198), Online publication date: 1-Sep-2001.
  2304. Liu G and Wu C (2001). A Discrete Method for Time-Optimal Motion Planning of a Class of Mobile Robots, Journal of Intelligent and Robotic Systems, 32:1, (75-92), Online publication date: 1-Sep-2001.
  2305. Downing K (2001). Reinforced Genetic Programming, Genetic Programming and Evolvable Machines, 2:3, (259-288), Online publication date: 1-Sep-2001.
  2306. Kvasnička V and Pospíchal J A multi-agent study of interethnic cooperation Mutli-agents systems and applications, (415-435)
  2307. Abu-Zitar R and Al-Fahed Nuseirat A (2001). A Theoretical Approach of an Intelligent Robot Gripper to Grasp Polygon Shaped Objects, Journal of Intelligent and Robotic Systems, 31:4, (397-422), Online publication date: 1-Aug-2001.
  2308. Smith R, Dike B, Ravichandran B, El-Fallah A and Mehra R Discovering novel fighter combat maneuvers Creative evolutionary systems, (467-486)
  2309. Eiben A, Nabuurs R and Booij I The Escher evolver Creative evolutionary systems, (425-439)
  2310. Pagliarini L and Lund H Arts, robots, and evolution as a tool for creativity Creative evolutionary systems, (367-385)
  2311. von Buelow P Using evolutionary algorithms to aid designers of architectural structures Creative evolutionary systems, (315-336)
  2312. Koza J, Bennett F, Andre D and Keane M Genetic programming Creative evolutionary systems, (275-298)
  2313. Frazer J Creative design and the generative evolutionary paradigm Creative evolutionary systems, (253-274)
  2314. Woolf S and Thomas A The sound gallery---an interactive A-life artwork Creative evolutionary systems, (223-250)
  2315. Miranda E On the origins and evolution of music in virtual worlds Creative evolutionary systems, (189-204)
  2316. Taylor T Creativity in evolution Creative evolutionary systems, (79-108)
  2317. Bentley P and Corne D Introduction to creative evolutionary systems Creative evolutionary systems, (1-75)
  2318. Cantú-Paz E (2001). Migration Policies, Selection Pressure, and Parallel Evolutionary Algorithms, Journal of Heuristics, 7:4, (311-334), Online publication date: 1-Jul-2001.
  2319. Laguna M and Martí R (2001). A GRASP for Coloring Sparse Graphs, Computational Optimization and Applications, 19:2, (165-178), Online publication date: 1-Jul-2001.
  2320. Tout K and von Goldammer E (2001). Heuristic algorithms for the optimisation of telecommunication networks, Neural, Parallel & Scientific Computations, 9:2, (207-219), Online publication date: 1-Jun-2001.
  2321. Kita H (2001). A Comparison Study of Self-Adaptation in Evolution Strategies and Real-Coded Genetic Algorithms, Evolutionary Computation, 9:2, (223-241), Online publication date: 1-Jun-2001.
  2322. ACM
    Aggarwal C and Yu P (2001). Outlier detection for high dimensional data, ACM SIGMOD Record, 30:2, (37-46), Online publication date: 1-Jun-2001.
  2323. Poli R (2001). Exact Schema Theory for Genetic Programming and Variable-Length Genetic Algorithms with One-Point Crossover, Genetic Programming and Evolvable Machines, 2:2, (123-163), Online publication date: 1-Jun-2001.
  2324. Louchet J (2001). Using an Individual Evolution Strategy for Stereovision, Genetic Programming and Evolvable Machines, 2:2, (101-109), Online publication date: 1-Jun-2001.
  2325. Yadgari J, Amir A and Unger R (2001). Genetic Threading, Constraints, 6:2/3, (271-292), Online publication date: 1-Jun-2001.
  2326. Podgorelec V and Kokol P (2001). Towards More Optimal Medical Diagnosing with Evolutionary Algorithms, Journal of Medical Systems, 25:3, (195-219), Online publication date: 1-Jun-2001.
  2327. Ward C, Gobet F and Kendall G (2001). Evolving collective behavior in an artificial ecology, Artificial Life, 7:2, (191-209), Online publication date: 1-May-2001.
  2328. ACM
    Aggarwal C and Yu P Outlier detection for high dimensional data Proceedings of the 2001 ACM SIGMOD international conference on Management of data, (37-46)
  2329. Tzafestas S and Tzafestas E (2001). Computational Intelligence Techniques for Short-Term Electric Load Forecasting, Journal of Intelligent and Robotic Systems, 31:1-3, (7-68), Online publication date: 1-May-2001.
  2330. ACM
    Lancia G, Carr R, Walenz B and Istrail S 101 optimal PDB structure alignments Proceedings of the fifth annual international conference on Computational biology, (193-202)
  2331. ACM
    Munteanu C and Rosa A (2001). Evolutionary image enhancement with user behavior modeling, ACM SIGAPP Applied Computing Review, 9:1, (8-14), Online publication date: 1-Apr-2001.
  2332. Polgár O, Fried M, Lohner T and Bársony I (2001). A Combined Topographical Search Strategy with Ellipsometric Application, Journal of Global Optimization, 19:4, (383-401), Online publication date: 1-Apr-2001.
  2333. Lee M and Rhee H (2001). The Effect of Evolution in Artificial Life Learning Behavior, Journal of Intelligent and Robotic Systems, 30:4, (399-414), Online publication date: 1-Apr-2001.
  2334. Youssef H, M. Sait S and Adiche H (2001). Evolutionary algorithms, simulated annealing and tabu search, Engineering Applications of Artificial Intelligence, 14:2, (167-181), Online publication date: 1-Apr-2001.
  2335. ACM
    Munteanu C and Rosa A Evolutionary image enhancement with user behaviour modeling Proceedings of the 2001 ACM symposium on Applied computing, (316-320)
  2336. Shackleford B, Snider G, Carter R, Okushi E, Yasuda M, Seo K and Yasuura H (2001). A High-Performance, Pipelined, FPGA-Based Genetic Algorithm Machine, Genetic Programming and Evolvable Machines, 2:1, (33-60), Online publication date: 1-Mar-2001.
  2337. Ilich N and Simonovic S (2001). An Evolution Program for Non-Linear Transportation Problems, Journal of Heuristics, 7:2, (145-168), Online publication date: 1-Mar-2001.
  2338. Akkiraju R, Keskinocak P, Murthy S and Wu F (2001). An Agent-Based Approach for Scheduling Multiple Machines, Applied Intelligence, 14:2, (135-144), Online publication date: 26-Feb-2001.
  2339. Keim M, Drechsler N, Drechsler R and Becker B (2001). Combining GAs and Symbolic Methods for High Quality Tests of Sequential Circuits, Journal of Electronic Testing: Theory and Applications, 17:1, (37-51), Online publication date: 1-Feb-2001.
  2340. ACM
    Lorenz M, Kottmann D, Bashford S, Leupers R and Marwedel P Optimized address assignment for DSPs with SIMD memory accesses Proceedings of the 2001 Asia and South Pacific Design Automation Conference, (415-420)
  2341. Tang M, Eshraghian K and Habibi D Knowledge-based genetic algorithm for layer assignment Proceedings of the 24th Australasian conference on Computer science, (184-190)
  2342. Barbay J and Kenyon C On the discrete Bak-Sneppen model of self-organized criticality Proceedings of the twelfth annual ACM-SIAM symposium on Discrete algorithms, (928-933)
  2343. Lee C, Ma L and Antonsson E Evolutionary and adaptive synthesis methods Formal engineering design synthesis, (270-320)
  2344. Antonsson E Microsystem design synthesis Formal engineering design synthesis, (126-169)
  2345. Tang M, Eshraghian K and Habibi D (2001). Knowledge-based genetic algorithm for layer assignment, Australian Computer Science Communications, 23:1, (184-190), Online publication date: 1-Jan-2001.
  2346. Baum E, Boneh D and Garrett C (2001). Where Genetic Algorithms Excel, Evolutionary Computation, 9:1, (93-124), Online publication date: 1-Jan-2001.
  2347. Kargupta H and Park B (2001). Gene Expression and Fast Construction of Distributed Evolutionary Representation, Evolutionary Computation, 9:1, (43-69), Online publication date: 1-Jan-2001.
  2348. Valenzuela C (2001). A Study of Permutation Operators for Minimum Span Frequency Assignment Using an Order Based Representation, Journal of Heuristics, 7:1, (5-21), Online publication date: 1-Jan-2001.
  2349. Fan W, Gordon M and Pathak P Personalization of search engine services for effective retrieval and knowledge management Proceedings of the twenty first international conference on Information systems, (20-34)
  2350. Tomlinson A and Bull L (2000). Symbiogenesis in learning clasifier systems, Artificial Life, 7:1, (33-61), Online publication date: 1-Dec-2000.
  2351. Reggia J, Schulz R, Wilkinson G and Uriagereka J (2000). Conditions enabling the evolution of inter-agent signaling in an artificial world, Artificial Life, 7:1, (3-32), Online publication date: 1-Dec-2000.
  2352. Siegel E and McKeown K (2000). Learning methods to combine linguistic indicators, Computational Linguistics, 26:4, (595-628), Online publication date: 1-Dec-2000.
  2353. Draper D and Fouskakis D (2000). A Case Study of Stochastic Optimization in Health Policy, Journal of Global Optimization, 18:4, (399-416), Online publication date: 1-Dec-2000.
  2354. Herrera F and Lozano M (2000). Two-Loop Real-Coded Genetic Algorithms with Adaptive Control of Mutation Step Sizes, Applied Intelligence, 13:3, (187-204), Online publication date: 29-Nov-2000.
  2355. Boettcher S (2000). Extremal optimization, Computing in Science and Engineering, 2:6, (75-82), Online publication date: 1-Nov-2000.
  2356. Kramer M and Zhang D GAPS 24th International Computer Software and Applications Conference
  2357. Shipman R, Botham P and Coker P (2000). Coupling Developmental Rules and Evolution to Aid in Planning Network Growth, BT Technology Journal, 18:4, (95-102), Online publication date: 1-Oct-2000.
  2358. Collet P, Lutton E, Raynal F and Schoenauer M (2000). Polar IFS+Parisian Genetic Programming=Efficient IFS Inverse Problem Solving, Genetic Programming and Evolvable Machines, 1:4, (339-361), Online publication date: 1-Oct-2000.
  2359. Cao H, Kang L, Chen Y and Yu J (2000). Evolutionary Modeling of Systems of Ordinary Differential Equations with Genetic Programming, Genetic Programming and Evolvable Machines, 1:4, (309-337), Online publication date: 1-Oct-2000.
  2360. Dhar V, Chou D and Provost F (2000). Discovering Interesting Patterns for Investment Decision Making with GLOWER ◯-A Genetic Learner Overlaid with Entropy Reduction, Data Mining and Knowledge Discovery, 4:4, (251-280), Online publication date: 1-Oct-2000.
  2361. Winker P (2000). Optimized Multivariate Lag Structure Selection, Computational Economics, 16:1-2, (87-103), Online publication date: 1-Oct-2000.
  2362. Salman A, Mehrotra K and Mohan C (2000). Adaptive Linkage Crossover, Evolutionary Computation, 8:3, (341-370), Online publication date: 1-Sep-2000.
  2363. Pelikan M, Goldberg D and Cantú-paz E (2000). Linkage Problem, Distribution Estimation, and Bayesian Networks, Evolutionary Computation, 8:3, (311-340), Online publication date: 1-Sep-2000.
  2364. Bertoni A, Campadelli P, Carpentieri M and Grossi G (2000). A Genetic Model: Analysis and Application to MAXSAT, Evolutionary Computation, 8:3, (291-309), Online publication date: 1-Sep-2000.
  2365. Kim D and Bang S (2000). A Handwritten Numeral Character Classification Using Tolerant Rough Set, IEEE Transactions on Pattern Analysis and Machine Intelligence, 22:9, (923-937), Online publication date: 1-Sep-2000.
  2366. Hong T, Wang H and Chen W (2000). Simultaneously Applying Multiple Mutation Operators in Genetic Algorithms, Journal of Heuristics, 6:4, (439-455), Online publication date: 1-Sep-2000.
  2367. Kostenko V, Smelyanskii R and Trekin A (2023). Synthesizing structures of real-time computer systems using genetic algorithms, Programming and Computing Software, 26:5, (281-288), Online publication date: 1-Sep-2000.
  2368. Hanne T (2000). Global Multiobjective Optimization Using Evolutionary Algorithms, Journal of Heuristics, 6:3, (347-360), Online publication date: 1-Aug-2000.
  2369. Ortega-Sanchez C, Mange D, Smith S and Tyrrell A (2000). Embryonics, Genetic Programming and Evolvable Machines, 1:3, (187-215), Online publication date: 1-Jul-2000.
  2370. Wu C and Liu G (2000). A Genetic Approach for Simultaneous Design of Membership Functions and Fuzzy Control Rules, Journal of Intelligent and Robotic Systems, 28:3, (195-211), Online publication date: 1-Jul-2000.
  2371. Xu S and Frank T (2000). Forecasting the efficiency of test generation algorithms for combinational circuits, Journal of Computer Science and Technology, 15:4, (326-337), Online publication date: 1-Jul-2000.
  2372. ACM
    Globus A, Langhirt E, Livny M, Ramamurthy R, Solomon M and Traugott S JavaGenes and Condor Proceedings of the ACM 2000 conference on Java Grande, (134-139)
  2373. ACM
    Coello C (2000). An updated survey of GA-based multiobjective optimization techniques, ACM Computing Surveys, 32:2, (109-143), Online publication date: 1-Jun-2000.
  2374. Chelouah R and Siarry P (2000). A Continuous Genetic Algorithm Designed for the Global Optimization of Multimodal Functions, Journal of Heuristics, 6:2, (191-213), Online publication date: 1-Jun-2000.
  2375. IEEE Intelligent Systems staff (2000). Genetic Programming, IEEE Intelligent Systems, 15:3, (74-84), Online publication date: 1-May-2000.
  2376. Alba E and Troya J (2000). Influence of the Migration Policy in Parallel DistributedGAs with Structured and Panmictic Populations, Applied Intelligence, 12:3, (163-181), Online publication date: 1-May-2000.
  2377. Avilés R, Vallejo J, Ajuria G and Agirrebeitia J (2000). Second-order methods for the optimum synthesis of multibody systems, Structural and Multidisciplinary Optimization, 19:3, (192-203), Online publication date: 1-May-2000.
  2378. Chen Y (2000). Automated Tuning of Parallel I/O Systems, IEEE Transactions on Software Engineering, 26:4, (362-383), Online publication date: 1-Apr-2000.
  2379. Koza J, Keane M, Yu J, Bennett F and Mydlowec W (2000). Automatic Creation of Human-Competitive Programs and Controllers by Means of Genetic Programming, Genetic Programming and Evolvable Machines, 1:1-2, (121-164), Online publication date: 1-Apr-2000.
  2380. Miller J, Job D and Vassilev V (2000). Principles in the Evolutionary Design of Digital Circuits—Part I, Genetic Programming and Evolvable Machines, 1:1-2, (7-35), Online publication date: 1-Apr-2000.
  2381. Pickavet M and Demeester P (2000). A Zoom-In Approach to Design SDH Mesh Restorable Networks, Journal of Heuristics, 6:1, (107-130), Online publication date: 1-Apr-2000.
  2382. Sanchis A, Molina J, Isasi P and Segovia J (2000). RTCS, Journal of Intelligent and Robotic Systems, 27:4, (379-405), Online publication date: 1-Apr-2000.
  2383. ACM
    Fernandes C, Tavares R and Rosa A niGAVaPS — outbreeding in genetic algorithms Proceedings of the 2000 ACM symposium on Applied computing - Volume 1, (477-482)
  2384. ACM
    Pereira F and Costa E The influence of learning in the behavior of information retrieval adaptive agents Proceedings of the 2000 ACM symposium on Applied computing - Volume 1, (452-457)
  2385. ACM
    Gottlieb J and Kruse T Selection in evolutionary algorithms for the traveling salesman problem Proceedings of the 2000 ACM symposium on Applied computing - Volume 1, (415-421)
  2386. Merz P and Freisleben B (2000). Fitness Landscapes, Memetic Algorithms, and Greedy Operators for Graph Bipartitioning, Evolutionary Computation, 8:1, (61-91), Online publication date: 1-Mar-2000.
  2387. Babič Š, Kokol P, Podgorelec V, Zorman M, Šprogar M and Štiglic M (2000). The Art of Building Decision Trees, Journal of Medical Systems, 24:1, (43-52), Online publication date: 1-Feb-2000.
  2388. Schulenburg S and Ross P An Adaptive Agent Based Economic Model Learning Classifier Systems, From Foundations to Applications, (263-282)
  2389. Lanzi P and Riolo R A Roadmap to the Last Decade of Learning Classifier System Research Learning Classifier Systems, From Foundations to Applications, (33-62)
  2390. Kovacs T and Lanzi P A Learning Classifier Systems Bibliography Learning Classifier Systems, From Foundations to Applications, (321-348)
  2391. Smith R, Dike B, Ravichandran B, El-Fallah A and Mehra R The Fighter Aircraft LCS Learning Classifier Systems, From Foundations to Applications, (283-300)
  2392. Tomlinson A and Bull L A Corporate XCS Learning Classifier Systems, From Foundations to Applications, (195-208)
  2393. Holland J, Booker L, Colombetti M, Dorigo M, Goldberg D, Forrest S, Riolo R, Smith R, Lanzi P, Stolzmann W and Wilson S What Is a Learning Classifier System? Learning Classifier Systems, From Foundations to Applications, (3-32)
  2394. Michalski R (2000). LEARNABLE EVOLUTION MODEL, Machine Language, 38:1-2, (9-40), Online publication date: 1-Jan-2000.
  2395. Calabretta R, Nolfi S, Parisi D and Wagner G (1999). Duplication of modules facilitates the evolution of functional specialization, Artificial Life, 6:1, (69-84), Online publication date: 1-Dec-1999.
  2396. ACM
    Kwok Y and Ahmad I (1999). Static scheduling algorithms for allocating directed task graphs to multiprocessors, ACM Computing Surveys, 31:4, (406-471), Online publication date: 1-Dec-1999.
  2397. ACM
    Glover F, Kelly J and Laguna M New advances for wedding optimization and simulation Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1, (255-260)
  2398. Cao B, Sun M and Macleod C (1999). Applying GIS and Combinatorial Optimization to Fiber DeploymentPlans, Journal of Heuristics, 5:4, (385-402), Online publication date: 1-Dec-1999.
  2399. ACM
    Tamzalit D and Oussalah C From object evolution to object emergence Proceedings of the eighth international conference on Information and knowledge management, (514-521)
  2400. Sharpe P and Glover R (1999). Efficient GA Based Techniques for Classification, Applied Intelligence, 11:3, (277-284), Online publication date: 1-Nov-1999.
  2401. Liu X (1999). Progress in Intelligent Data Analysis, Applied Intelligence, 11:3, (235-240), Online publication date: 1-Nov-1999.
  2402. Bullock S and Todd P (1999). Made to Measure, Minds and Machines, 9:4, (497-541), Online publication date: 1-Nov-1999.
  2403. Pomeranz I and Reddy S (1999). A Cone-Based Genetic Optimization Procedure for Test Generation and Its Application to n$n$-Detections in Combinational Circuits, IEEE Transactions on Computers, 48:10, (1145-1152), Online publication date: 1-Oct-1999.
  2404. Boughanem M, Chrisment C and Tamine L (1999). Genetic Approach to Query Space Exploration, Information Retrieval, 1:3, (175-192), Online publication date: 1-Oct-1999.
  2405. Pesant G and Gendreau M (1999). A Constraint Programming Framework for Local Search Methods, Journal of Heuristics, 5:3, (255-279), Online publication date: 1-Oct-1999.
  2406. Bull L (1999). On Evolving Social Systems, Computational & Mathematical Organization Theory, 5:3, (281-302), Online publication date: 1-Oct-1999.
  2407. Baumann B and Kost B (1999). Topology Optimization of Trusses—Random Cost Method Versus Evolutionary Algorithms, Computational Optimization and Applications, 14:2, (203-218), Online publication date: 1-Sep-1999.
  2408. Bhandarkar S and Zeng X (1999). Evolutionary Approaches to Figure-Ground Separation, Applied Intelligence, 11:2, (187-212), Online publication date: 1-Sep-1999.
  2409. ACM
    Papadias D, Mantzourogiannis M, Kalnis P, Mamoulis N and Ahmad I Content-based retrieval using heuristic search Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval, (168-175)
  2410. Corrêa R, Ferreira A and Rebreyend P (1999). Scheduling Multiprocessor Tasks with Genetic Algorithms, IEEE Transactions on Parallel and Distributed Systems, 10:8, (825-837), Online publication date: 1-Aug-1999.
  2411. Zomaya A, Ward C and Macey B (1999). Genetic Scheduling for Parallel Processor Systems, IEEE Transactions on Parallel and Distributed Systems, 10:8, (795-812), Online publication date: 1-Aug-1999.
  2412. Fuchs M Lemma generation for model elimination by combining top-down and bottom-up inference Proceedings of the 16th international joint conference on Artifical intelligence - Volume 1, (4-9)
  2413. ACM
    Cooper K, Schielke P and Subramanian D (1999). Optimizing for reduced code space using genetic algorithms, ACM SIGPLAN Notices, 34:7, (1-9), Online publication date: 1-Jul-1999.
  2414. Mühlenbein H, Mahnig T and Rodriguez A (1999). Schemata, Distributions and Graphical Models in Evolutionary Optimization, Journal of Heuristics, 5:2, (215-247), Online publication date: 1-Jul-1999.
  2415. Calégari P, Coray G, Hertz A, Kobler D and Kuonen P (1999). A Taxonomy of Evolutionary Algorithms in Combinatorial Optimization, Journal of Heuristics, 5:2, (145-158), Online publication date: 1-Jul-1999.
  2416. Wiering M, Sałustowicz R and Schmidhuber J (1999). Reinforcement Learning Soccer Teams with Incomplete World Models, Autonomous Robots, 7:1, (77-88), Online publication date: 1-Jul-1999.
  2417. Walker R (1999). “Niche selection and the evolution of complex behavior in a changing environment”, Artificial Life, 5:3, (271-289), Online publication date: 1-Jun-1999.
  2418. ACM
    Krasnicki M, Phelps R, Rutenbar R and Carley L MAELSTROM Proceedings of the 36th annual ACM/IEEE Design Automation Conference, (945-950)
  2419. Nagendra Prasad M and Lesser V (1999). Learning Situation-Specific Coordination in Cooperative Multi-agent Systems, Autonomous Agents and Multi-Agent Systems, 2:2, (173-207), Online publication date: 1-Jun-1999.
  2420. Vallée T and Başar T (1999). Off-Line Computation of Stackelberg Solutions with the Genetic Algorithm, Computational Economics, 13:3, (201-209), Online publication date: 1-Jun-1999.
  2421. ACM
    Cooper K, Schielke P and Subramanian D Optimizing for reduced code space using genetic algorithms Proceedings of the ACM SIGPLAN 1999 workshop on Languages, compilers, and tools for embedded systems, (1-9)
  2422. Wu C (1999). Genetic Tuning of PID Controllers Using a Neural Network Model, Journal of Intelligent and Robotic Systems, 25:1, (43-59), Online publication date: 1-May-1999.
  2423. Dorigo M, Di Caro G and Gambardella L (1999). Ant algorithms for discrete optimization, Artificial Life, 5:2, (137-172), Online publication date: 1-Apr-1999.
  2424. Aldershof B and Carducci O (1999). Stable Marriage and Genetic Algorithms, Journal of Heuristics, 5:1, (29-46), Online publication date: 1-Apr-1999.
  2425. Östermark R (1999). Solving Irregular Econometric and Mathematical Optimization Problems with a Genetic Hybrid Algorithm, Computational Economics, 13:2, (103-115), Online publication date: 1-Apr-1999.
  2426. Larrañaga P, Kuijpers C, Murga R, Inza I and Dizdarevic S (1999). Genetic Algorithms for the Travelling Salesman Problem, Artificial Intelligence Review, 13:2, (129-170), Online publication date: 1-Apr-1999.
  2427. Feitelson D and Naaman M (1999). Self-Tuning Systems, IEEE Software, 16:2, (52-60), Online publication date: 1-Mar-1999.
  2428. ACM
    Santos A and Dourado A Constrained GA applied to production and energy management of a pulp and paper mill Proceedings of the 1999 ACM symposium on Applied computing, (324-332)
  2429. ACM
    Wiese K and Goodwin S Convergence characteristics of keep-best reproduction Proceedings of the 1999 ACM symposium on Applied computing, (312-318)
  2430. ACM
    Rivera-Gallego W A genetic algorithm for solving the Euclidean distance matrices completion problem Proceedings of the 1999 ACM symposium on Applied computing, (286-290)
  2431. ACM
    Crane D, Wainwright R and Schoenefeld D Scheduling of multi-product fungible liquid pipelines using genetic algorithms Proceedings of the 1999 ACM symposium on Applied computing, (280-285)
  2432. ACM
    Lee I Artificial intelligence search methods for multi-machine two-stage scheduling Proceedings of the 1999 ACM symposium on Applied computing, (31-35)
  2433. Wong M, Lam W and Leung K (1999). Using Evolutionary Programming and Minimum Description Length Principle for Data Mining of Bayesian Networks, IEEE Transactions on Pattern Analysis and Machine Intelligence, 21:2, (174-178), Online publication date: 1-Feb-1999.
  2434. Walser J (1999). Integer optimization by local search, 10.5555/1791454, Online publication date: 1-Jan-1999.
  2435. Wah B (1999). Generalization and Generalizability Measures, IEEE Transactions on Knowledge and Data Engineering, 11:1, (175-186), Online publication date: 1-Jan-1999.
  2436. Han B, Lee S and Yang H (1999). A Model-Based Diagnosis System for Identifying Faulty Components in Digital Circuits, Applied Intelligence, 10:1, (37-52), Online publication date: 1-Jan-1999.
  2437. Belfiore N and Esposito A (1998). Theoretical and Experimental Study of Crossover Operators of Genetic Algorithms, Journal of Optimization Theory and Applications, 99:2, (271-302), Online publication date: 1-Nov-1998.
  2438. Budenske J, Ramanujan R and Siegel H (1998). A Method for the On-Line Use of Off-Line Derived Remappings ofIterative Automatic Target Recognition Tasks onto a Particular Class ofHeterogeneous Parallel Platforms, The Journal of Supercomputing, 12:4, (387-406), Online publication date: 1-Oct-1998.
  2439. Nearchou A and Aspragathos N (1998). Collision-Free Cartesian Trajectory Generation Using Raster Scanning and Genetic Algorithms, Journal of Intelligent and Robotic Systems, 23:2-4, (351-377), Online publication date: 1-Oct-1998.
  2440. McMahon J and Smith F (1998). A Review of Statistical Language Processing Techniques, Artificial Intelligence Review, 12:5, (347-391), Online publication date: 1-Oct-1998.
  2441. ACM
    Porto V, Fogel D and Fogel L (1998). Generating novel tactics through evolutionary computation, ACM SIGART Bulletin, 9:2, (8-14), Online publication date: 1-Sep-1998.
  2442. Maniezzo V, Mingozzi A and Baldacci R (1998). A Bionomic Approach to the Capacitated p-Median Problem, Journal of Heuristics, 4:3, (263-280), Online publication date: 1-Sep-1998.
  2443. Rochat Y (1998). A Genetic Approach for Solving a Scheduling Problem in aRobotized Analytical System, Journal of Heuristics, 4:3, (245-261), Online publication date: 1-Sep-1998.
  2444. Herrera F, Lozano M and Verdegay J (1998). Tackling Real-Coded Genetic Algorithms, Artificial Intelligence Review, 12:4, (265-319), Online publication date: 1-Aug-1998.
  2445. ACM
    Rosin C Sample complexity of model-based search Proceedings of the eleventh annual conference on Computational learning theory, (259-267)
  2446. Hunter A (1998). Crossing Over Genetic Algorithms, Journal of Heuristics, 4:2, (179-192), Online publication date: 1-Jul-1998.
  2447. Novkovic S (1998). A Genetic Algorithm Simulation of a Transition Economy, Computational Economics, 11:3, (221-243), Online publication date: 1-Jun-1998.
  2448. ACM
    Liu J Reactive agents for adaptive image analysis Proceedings of the second international conference on Autonomous agents, (441-448)
  2449. ACM
    Liu J and Qin H Behavioral self-organization in lifelike agents Proceedings of the second international conference on Autonomous agents, (254-260)
  2450. ACM
    John D Pursuing bounds of ir(Q) Proceedings of the 36th annual ACM Southeast Conference, (236-240)
  2451. ACM
    Graves M and Hooper W A few new features for genetic algorithms Proceedings of the 36th annual ACM Southeast Conference, (228-235)
  2452. ACM
    Hoehn T Wolves in sheep's clothing? The effects of “hidden”parental mutation on genetic algorithm performance Proceedings of the 36th annual ACM Southeast Conference, (221-227)
  2453. ACM
    Koza J, Bennett F, Hutchings J, Bade S, Keane M and Andre D Evolving computer programs using rapidly reconfigurable field-programmable gate arrays and genetic programming Proceedings of the 1998 ACM/SIGDA sixth international symposium on Field programmable gate arrays, (209-219)
  2454. Vafaie H and De Jong K (1998). Feature Space Transformation Using Genetic Algorithms, IEEE Intelligent Systems, 13:2, (57-65), Online publication date: 1-Mar-1998.
  2455. Colorni A, Dorigo M and Maniezzo V (1998). Metaheuristics for High School Timetabling, Computational Optimization and Applications, 9:3, (275-298), Online publication date: 1-Mar-1998.
  2456. Podlena J and Hendtlass T (1998). An Accelerated Genetic Algorithm, Applied Intelligence, 8:2, (103-111), Online publication date: 1-Mar-1998.
  2457. ACM
    Mohan C Selective crossover Proceedings of the 1998 ACM symposium on Applied Computing, (374-378)
  2458. ACM
    Wiese K and Goodwin S Keep-best reproduction Proceedings of the 1998 ACM symposium on Applied Computing, (343-348)
  2459. ACM
    Salman A, Mehrotra K and Mohan C Adaptive linkage crossover Proceedings of the 1998 ACM symposium on Applied Computing, (338-342)
  2460. Rudnick E, Vietti R, Ellis A, Corno F, Prinetto P and Reorda M Fast sequential circuit test generation using high-level and gate-level techniques Proceedings of the conference on Design, automation and test in Europe, (570-576)
  2461. Srinivasan V, Radhakrishnan S and Vemuri R Hardware/software partitioning with integrated hardware design space exploration Proceedings of the conference on Design, automation and test in Europe, (28-35)
  2462. Chen H, Flann N and Watson D (1998). Parallel Genetic Simulated Annealing, IEEE Transactions on Parallel and Distributed Systems, 9:2, (126-136), Online publication date: 1-Feb-1998.
  2463. Boryczka M (1998). Some Aspects of Ant Systems for the TSP, Fundamenta Informaticae, 35:1-4, (197-209), Online publication date: 1-Jan-1998.
  2464. Sebag M, Schoenauer M and Peyral M (1998). Revisiting the Memory of Evolution, Fundamenta Informaticae, 35:1-4, (125-162), Online publication date: 1-Jan-1998.
  2465. Shang Y and Wah B (1998). A Discrete Lagrangian-Based Global-SearchMethod for Solving Satisfiability Problems, Journal of Global Optimization, 12:1, (61-99), Online publication date: 1-Jan-1998.
  2466. Pujol J and Poli R (1998). Evolving the Topology and the Weights of Neural Networks Using a Dual Representation, Applied Intelligence, 8:1, (73-84), Online publication date: 1-Jan-1998.
  2467. Gonzalez A, Grãna M, D'Anjou A, Albizuri F and Torrealdea F (1998). A Comparison of Experimental Results with an Evolution Strategy and Competitive Neural Networks for Near Real-Time Color Quantization of Image Sequences, Applied Intelligence, 8:1, (43-51), Online publication date: 1-Jan-1998.
  2468. Dain R (1998). Developing Mobile Robot Wall-Following Algorithms Using Genetic Programming, Applied Intelligence, 8:1, (33-41), Online publication date: 1-Jan-1998.
  2469. Entriken R and Vössner S Genetic algorithms with cluster analysis for production simulation Proceedings of the 29th conference on Winter simulation, (1307-1314)
  2470. Vigo D and Maniezzo V (1997). A Genetic/Tabu Thresholding Hybrid Algorithm for the ProcessAllocation Problem, Journal of Heuristics, 3:2, (91-110), Online publication date: 1-Dec-1997.
  2471. Cangelosi A and Parisi D (1997). A Neural Network Model of Caenorhabditis Elegans, Neural Processing Letters, 6:3, (91-98), Online publication date: 1-Dec-1997.
  2472. Kwok Y and Ahmad I (1997). Efficient Scheduling of Arbitrary Task Graphs to Multiprocessors Using a Parallel Genetic Algorithm, Journal of Parallel and Distributed Computing, 47:1, (58-77), Online publication date: 25-Nov-1997.
  2473. Wang L, Siegel H, Roychowdhury V and Maciejewski A (1997). Task Matching and Scheduling in Heterogeneous Computing Environments Using a Genetic-Algorithm-Based Approach, Journal of Parallel and Distributed Computing, 47:1, (8-22), Online publication date: 25-Nov-1997.
  2474. Zomaya A and Olariu S (1997). Special Issue on Parallel Evolutionary Computing, Journal of Parallel and Distributed Computing, 47:1, (1-7), Online publication date: 25-Nov-1997.
  2475. Davis L, Cox L, Kuehner W, Lu L and Orvosh D (1997). Dynamic Hierarchical Packing of WirelessSwitches Using a Seed, Repair and Replace Genetic Algorithm, Journal of Heuristics, 3:3, (187-205), Online publication date: 1-Nov-1997.
  2476. Saab Y (1997). Combinatorial Optimization by Dynamic Contraction, Journal of Heuristics, 3:3, (207-224), Online publication date: 1-Nov-1997.
  2477. Thornton C (1997). Brave Mobots Use Representation, Minds and Machines, 7:4, (475-494), Online publication date: 1-Nov-1997.
  2478. Wetzel A (1997). Computational Aspects of Pathology Image Classification and Retrieval, The Journal of Supercomputing, 11:3, (279-293), Online publication date: 1-Nov-1997.
  2479. Doan K and Wong K (1997). SHAPES, IEEE Transactions on Knowledge and Data Engineering, 9:5, (731-746), Online publication date: 1-Sep-1997.
  2480. Franconi L and Jennison C (1997). Comparison of a genetic algorithm and simulated annealing in an application to statistical image reconstruction, Statistics and Computing, 7:3, (193-207), Online publication date: 1-Aug-1997.
  2481. Szpiro G (1997). A Search for Hidden Relationships, Computational Economics, 10:3, (267-277), Online publication date: 1-Aug-1997.
  2482. ACM
    Kavian M, McLenaghan R and Geddes K Application of genetic algorithms to the algebraic simplification of tensor polynomials Proceedings of the 1997 international symposium on Symbolic and algebraic computation, (93-100)
  2483. Kuo T and Hwang S (1997). Using Disruptive Selection to Maintain Diversity in GeneticAlgorithms, Applied Intelligence, 7:3, (257-267), Online publication date: 1-Jul-1997.
  2484. ACM
    Emer J and Gloy N A language for describing predictors and its application to automatic synthesis Proceedings of the 24th annual international symposium on Computer architecture, (304-314)
  2485. ACM
    Emer J and Gloy N (1997). A language for describing predictors and its application to automatic synthesis, ACM SIGARCH Computer Architecture News, 25:2, (304-314), Online publication date: 1-May-1997.
  2486. Aggarwal C, Orlin J and Tai R (1997). Optimized Crossover for the Independent Set Problem, Operations Research, 45:2, (226-234), Online publication date: 1-Apr-1997.
  2487. ACM
    Kaiser C, Lamont G, Merkle L, Gates G and Pachter R Polypeptide structure prediction Proceedings of the 1997 ACM symposium on Applied computing, (279-286)
  2488. ACM
    Moon B, Lee Y and Kim C Genetic VLSI circuit partitioning with two-dimensional geographic crossover and zigzag mapping Proceedings of the 1997 ACM symposium on Applied computing, (274-278)
  2489. ACM
    Pargas R, Ludwick J and Spoon S Hybrid search algorithms Proceedings of the 1997 ACM symposium on Applied computing, (269-273)
  2490. ACM
    Chung S and Perez R Why is problem-dependent and high-level representation scheme better in a genetic algorithm? Proceedings of the 1997 ACM symposium on Applied computing, (239-246)
  2491. ACM
    Corno F, prinetto P, Rebaudenpgo M and Reorda M SAARA Proceedings of the 1997 ACM symposium on Applied computing, (228-232)
  2492. ACM
    Khuri S Computing with Haar functions Proceedings of the 1997 ACM symposium on Applied computing, (223-227)
  2493. ACM
    Haynes T Collective memory search Proceedings of the 1997 ACM symposium on Applied computing, (217-222)
  2494. ACM
    Koza J, Bennett F, Andre D and Keane M Evolution using genetic programming of a low-distortion, 96 decibel operational amplifier Proceedings of the 1997 ACM symposium on Applied computing, (207-216)
  2495. Levine D, Facello M, Hallstrom P, Reeder G, Walenz B and Stevens F (1997). Stalk, IEEE Computational Science & Engineering, 4:2, (55-65), Online publication date: 1-Apr-1997.
  2496. Pomeranz I and Reddy S On improving genetic optimization based test generation Proceedings of the 1997 European conference on Design and Test
  2497. Huang R, Ma J, Kunii T and Tsuboi E Parallel Genetic Algorithms for Communication Network Design Proceedings of the 2nd AIZU International Symposium on Parallel Algorithms / Architecture Synthesis
  2498. Yao X Global Optimisation by Evolutionary Algorithms Proceedings of the 2nd AIZU International Symposium on Parallel Algorithms / Architecture Synthesis
  2499. Gintis H (1997). A Markov Model of Production, Trade, and Money, Computational & Mathematical Organization Theory, 3:1, (19-41), Online publication date: 1-Mar-1997.
  2500. Wah B and Chang Y (1997). Trace-Based Methods for Solving Nonlinear Global Optimization and Satisfiability Problems, Journal of Global Optimization, 10:2, (107-141), Online publication date: 1-Mar-1997.
  2501. ACM
    Fukuda T, Nagahama R and Nomura J Networked VR system Proceedings of the second symposium on Virtual reality modeling language, (93-100)
  2502. ACM
    Barnes D, Ghanea-Hercock R, Aylett R and Coddington A Many hands make light work? An investigation into behaviourally controlled co-operant autonomous mobile robots Proceedings of the first international conference on Autonomous agents, (413-420)
  2503. ACM
    Liu J, Qin H, Tang Y and Wu Y Adaptation and learning in animated creatures Proceedings of the first international conference on Autonomous agents, (371-377)
  2504. Sheppard J and Salzberg S (1997). A Teaching Strategy for Memory-Based Control, Artificial Intelligence Review, 11:1-5, (343-370), Online publication date: 1-Feb-1997.
  2505. ACM
    Battiti R and Protasi M (1997). Reactive search, a history-sensitive heuristic for MAX-SAT, ACM Journal of Experimental Algorithmics, 2, (2-es), Online publication date: 1-Jan-1997.
  2506. Larrañaga P, Kuijpers C, Poza M and Murga R (1997). Decomposing Bayesian networks, Statistics and Computing, 7:1, (19-34), Online publication date: 1-Jan-1997.
  2507. Mavridou T and Pardalos P (1997). Simulated Annealing and Genetic Algorithms for the Facility LayoutProblem, Computational Optimization and Applications, 7:1, (111-126), Online publication date: 1-Jan-1997.
  2508. Courrieu P (1997). The Hyperbell Algorithm for Global Optimization, Journal of Global Optimization, 10:1, (37-55), Online publication date: 1-Jan-1997.
  2509. Wróblewski J (1996). Theoretical Foundations of Order-Based Genetic Algorithms, Fundamenta Informaticae, 28:3,4, (423-430), Online publication date: 1-Dec-1996.
  2510. ACM
    Michalewicz Z and Janikow C (1996). GENOCOP, Communications of the ACM, 39:12es, (175-es), Online publication date: 1-Dec-1996.
  2511. ACM
    Barrero A (1996). Implementation of abstract data types with arrays of unbounded dimensions, Communications of the ACM, 39:12es, (167-es), Online publication date: 1-Dec-1996.
  2512. Ivanov A, Tsuji B and Zorian Y (1996). Programmable BIST Space Compactors, IEEE Transactions on Computers, 45:12, (1393-1404), Online publication date: 1-Dec-1996.
  2513. Kuo T and Hwang S (1996). Why DGAs work well on GA-hard functions?, New Generation Computing, 14:4, (459-479), Online publication date: 1-Dec-1996.
  2514. Wildberger A Introduction & overview of “artificial life”—evolving intelligent agents for modeling & simulation Proceedings of the 28th conference on Winter simulation, (161-168)
  2515. Glover F, Kelly J and Laguna M New advances and applications of combining simulation and optimization Proceedings of the 28th conference on Winter simulation, (144-152)
  2516. He T, Hong L, Kaufman A and Pfister H Generation of transfer functions with stochastic search techniques Proceedings of the 7th conference on Visualization '96, (227-ff.)
  2517. Süß W, Eggert H, Georges-Schleuter M, Jakob W, Meinzer S and Quinte A Simulation and design optimization of microsystems based on standard simulators and adaptive search techniques Proceedings of the conference on European design automation, (322-327)
  2518. Spezzano G, Talia D, Di Gregorio S, Rongo R and Spataro W (1996). A Parallel Cellular Tool for Interactive Modeling and Simulation, IEEE Computational Science & Engineering, 3:3, (33-43), Online publication date: 1-Sep-1996.
  2519. Larrañaga P, Poza M, Yurramendi Y, Murga R and Kuijpers C (1996). Structure Learning of Bayesian Networks by Genetic Algorithms, IEEE Transactions on Pattern Analysis and Machine Intelligence, 18:9, (912-926), Online publication date: 1-Sep-1996.
  2520. Kumar A, Srivastava A, Singru A and Ghosh R Robust and distributed genetic algorithm for ordering problems Proceedings of the 5th IEEE International Symposium on High Performance Distributed Computing
  2521. ACM
    Mitlöhner J Classifier systems and economic modeling Proceedings of the conference on Designing the future, (77-86)
  2522. Horn J and Goldberg D Natural niching for evolving cooperative classifiers Proceedings of the 1st annual conference on genetic programming, (553-564)
  2523. Angeline P Evolving fractal movies Proceedings of the 1st annual conference on genetic programming, (503-511)
  2524. Fuchs M Evolving strategies using the nearest-neighbor rule and a genetic algorithm Proceedings of the 1st annual conference on genetic programming, (485-490)
  2525. Choi A Optimizing local area networks using genetic algorithms Proceedings of the 1st annual conference on genetic programming, (467-472)
  2526. Balakrishnan K and Honavar V On sensor evolution in robotics Proceedings of the 1st annual conference on genetic programming, (455-460)
  2527. Gelenbe E Genetic algorithms with analytical solution Proceedings of the 1st annual conference on genetic programming, (437-443)
  2528. Soule T, Foster J and Dickinson J Using genetic programming to approximate maximum clique Proceedings of the 1st annual conference on genetic programming, (400-405)
  2529. Stillger M and Spiliopoulou M Genetic programming in database query optimization Proceedings of the 1st annual conference on genetic programming, (388-393)
  2530. Oussaidène M, Chopard B, Pictet O and Tomassini M Parallel genetic programming Proceedings of the 1st annual conference on genetic programming, (357-362)
  2531. Bruce W Automatic generation of object-oriented programs using genetic programming Proceedings of the 1st annual conference on genetic programming, (267-272)
  2532. Alba E, Cotta C and Troya J Type-constrained genetic programming for rule-base definition in fuzzy logic controllers Proceedings of the 1st annual conference on genetic programming, (255-260)
  2533. Wong M and Leung K Learning recursive functions from noisy examples using generic genetic programming Proceedings of the 1st annual conference on genetic programming, (238-246)
  2534. Koza J, Andre D, Bennett F and Keane M Use of automatically defined functions and architecture-altering operations in automated circuit synthesis with genetic programming Proceedings of the 1st annual conference on genetic programming, (132-140)
  2535. Koza J, Bennett F, Andre D and Keane M Automated WYWIWYG design of both the topology and component values of electrical circuits using genetic programming Proceedings of the 1st annual conference on genetic programming, (123-131)
  2536. Angeline P An investigation into the sensitivity of genetic programming to the frequency of leaf selection during subtree crossover Proceedings of the 1st annual conference on genetic programming, (21-29)
  2537. Andre D, Bennett F and Koza J Discovery by genetic programming of a cellular automata rule that is better than any known rule for the majority classification problem Proceedings of the 1st annual conference on genetic programming, (3-11)
  2538. ACM
    Haynes T (1996). Book review: Genetic Programming I1: Automatic Discovery of Reusable Programs by John R. Koza (The MIT Press 1994), ACM SIGART Bulletin, 7:3, (18-19), Online publication date: 1-Jul-1996.
  2539. Bui T and Moon B (1996). Genetic Algorithm and Graph Partitioning, IEEE Transactions on Computers, 45:7, (841-855), Online publication date: 1-Jul-1996.
  2540. ACM
    Mitlöhner J (1996). Classifier systems and economic modeling, ACM SIGAPL APL Quote Quad, 26:4, (77-86), Online publication date: 15-Jun-1996.
  2541. Chattopadhyay S, Roy S and Chaudhuri P (1996). Synthesis of Highly Testable Fixed-Polarity AND-XOR Canonical Networks-A Genetic Algorithm-Based Approach, IEEE Transactions on Computers, 45:4, (487-490), Online publication date: 1-Apr-1996.
  2542. Ballantyne M, Boyer R and Hines L (1996). Woody Bledsoe, AI Magazine, 17:1, (7-20), Online publication date: 1-Mar-1996.
  2543. ACM
    Yoo J, Pettey C and Yoo S A hybrid conceptual clustering system Proceedings of the 1996 ACM 24th annual conference on Computer science, (105-114)
  2544. ACM
    Neubauer A Genetic algorithms for non-linear adaptive filters in digital signal processing Proceedings of the 1996 ACM symposium on Applied Computing, (519-522)
  2545. ACM
    Merkle L, Gaulke R, Lamont G, Gates G and Pachter R Hybrid genetic algorithms for polypeptide energy minimization Proceedings of the 1996 ACM symposium on Applied Computing, (305-311)
  2546. ACM
    Corcoran A and Wainwright R Reducing disruption of superior building blocks in genetic algorithms Proceedings of the 1996 ACM symposium on Applied Computing, (269-276)
  2547. ACM
    Hurley S, Thiel S and Smith D A comparison of local search algorithms for radio link frequency assignment problems Proceedings of the 1996 ACM symposium on Applied Computing, (251-257)
  2548. Srinivas M and Patnaik L (1996). Genetic Search, IEEE Transactions on Knowledge and Data Engineering, 8:1, (120-133), Online publication date: 1-Feb-1996.
  2549. ACM
    Snoad N and Bossomaier T MONSTER—the ghost in the connection machine Proceedings of the 1995 ACM/IEEE conference on Supercomputing, (26-es)
  2550. Tompkins G and Azadivar F Genetic algorithms in optimizing simulated systems Proceedings of the 27th conference on Winter simulation, (757-762)
  2551. Huang Y, Palaniappan K, Zhuang X and Cavanaugh J (1995). Optic Flow Field Segmentation and Motion Estimation Using a Robust Genetic Partitioning Algorithm, IEEE Transactions on Pattern Analysis and Machine Intelligence, 17:12, (1177-1190), Online publication date: 1-Dec-1995.
  2552. Dworman G, Kimbrough S and Laing J (1995). On automated discovery of models using genetic programming, Journal of Management Information Systems, 12:3, (97-125), Online publication date: 1-Dec-1995.
  2553. ACM
    Kopetz H and Nossal R The cluster compiler—a tool for the design of time-triggered real-time systems Proceedings of the ACM SIGPLAN 1995 workshop on Languages, compilers, & tools for real-time systems, (108-116)
  2554. ACM
    Kopetz H and Nossal R (1995). The cluster compiler—a tool for the design of time-triggered real-time systems, ACM SIGPLAN Notices, 30:11, (108-116), Online publication date: 1-Nov-1995.
  2555. Wong M and Leung K (1995). Inducing Logic Programs With Genetic Algorithms, IEEE Expert: Intelligent Systems and Their Applications, 10:5, (68-76), Online publication date: 1-Oct-1995.
  2556. Hamada K, Baba T, Sato K and Yufu M (1995). Hybridizing a Genetic Algorithm with Rule-Based Reasoning for Production Planning, IEEE Expert: Intelligent Systems and Their Applications, 10:5, (60-67), Online publication date: 1-Oct-1995.
  2557. ACM
    Blackmore K, Williamson R, Mareels I and Sethares W Online learning via congregational gradient descent Proceedings of the eighth annual conference on Computational learning theory, (265-272)
  2558. ACM
    Baum E, Boneh D and Garrett C On genetic algorithms Proceedings of the eighth annual conference on Computational learning theory, (230-239)
  2559. ACM
    Rabani Y, Rabinovich Y and Sinclair A A computational view of population genetics Proceedings of the twenty-seventh annual ACM symposium on Theory of computing, (83-92)
  2560. ACM
    Pannu A Using genetic algorithms to inductively reason with cases in the legal domain Proceedings of the 5th international conference on Artificial intelligence and law, (175-184)
  2561. March S and Rho S (1995). Allocating Data and Operations to Nodes in Distributed Database Design, IEEE Transactions on Knowledge and Data Engineering, 7:2, (305-317), Online publication date: 1-Apr-1995.
  2562. Corno F, Prinetto P, Rebaudengo M and Sonza Reorda M GARDA Proceedings of the 1995 European conference on Design and Test
  2563. ACM
    Bhuyan J A combination of genetic algorithm and simulated evolution techniques for clustering Proceedings of the 1995 ACM 23rd annual conference on Computer science, (127-134)
  2564. ACM
    Halgamuge S, Brichard A and Glesner M Comparison of a heuristic method with a genetic algorithm for generation of compact rule based classifiers Proceedings of the 1995 ACM symposium on Applied computing, (580-585)
  2565. ACM
    Smith R, Dike B and Stegmann S Fitness inheritance in genetic algorithms Proceedings of the 1995 ACM symposium on Applied computing, (345-350)
  2566. ACM
    Park K and Carter B On the effectiveness of genetic search in combinatorial optimization Proceedings of the 1995 ACM symposium on Applied computing, (329-336)
  2567. ACM
    Liang S and Lewis J A sparse matrix representation for production scheduling using genetic algorithms Proceedings of the 1995 ACM symposium on Applied computing, (313-317)
  2568. William F. Punch , Ronald C. Averill , Erik D. Goodman , Shyh-Chang Lin and Ying Ding (1995). Using Genetic Algorithms to Design Laminated Composite Structures, IEEE Expert: Intelligent Systems and Their Applications, 10:1, (42-49), Online publication date: 1-Feb-1995.
  2569. Dorn J (1995). Iterative Improvement Methods for Knowledge-Based Scheduling, AI Communications, 8:1, (20-34), Online publication date: 1-Jan-1995.
  2570. Beer R (1995). A dynamical systems perspective on agent-environment interaction, Artificial Intelligence, 72:1-2, (173-215), Online publication date: 1-Jan-1995.
  2571. Maini H, Mehrotra K, Mohan C and Ranka S Genetic algorithms for graph partitioning and incremental graph partitioning Proceedings of the 1994 ACM/IEEE conference on Supercomputing, (449-457)
  2572. Saab D, Saab Y and Abraham J Iterative [simulation-based genetics + deterministic techniques]= complete ATPG0 Proceedings of the 1994 IEEE/ACM international conference on Computer-aided design, (40-43)
  2573. ACM
    Masui T Evolutionary learning of graph layout constraints from examples Proceedings of the 7th annual ACM symposium on User interface software and technology, (103-108)
  2574. Moriarty D and Miikkulainen R Evolving neural networks to focus minimax search Proceedings of the Twelfth AAAI National Conference on Artificial Intelligence, (1371-1377)
  2575. Weiß G Hierarchical chunking in classifier systems Proceedings of the Twelfth AAAI National Conference on Artificial Intelligence, (1335-1340)
  2576. Spector L Genetic programming and AI planning systems Proceedings of the Twelfth AAAI National Conference on Artificial Intelligence, (1329-1334)
  2577. Shell P, Rubio J and Barro G Improving search through diversity Proceedings of the Twelfth AAAI National Conference on Artificial Intelligence, (1323-1328)
  2578. Clearwater S and Hogg T Exploiting problem structure in genetic algorithms Proceedings of the Twelfth AAAI National Conference on Artificial Intelligence, (1310-1315)
  2579. Romaniuk S Learning to learn Proceedings of the Twelfth AAAI National Conference on Artificial Intelligence, (871-876)
  2580. Siegel E and McKeown K Emergent linguistic rules from inducing decision trees Proceedings of the Twelfth AAAI National Conference on Artificial Intelligence, (820-826)
  2581. Spector L and Alpern A Criticism, culture, and the automatic generation of artworks Proceedings of the Twelfth AAAI National Conference on Artificial Intelligence, (3-8)
  2582. ACM
    Sims K Evolving virtual creatures Proceedings of the 21st annual conference on Computer graphics and interactive techniques, (15-22)
  2583. ACM
    Jacquemin C (1994). A temporal connectionist approach to natural language, ACM SIGART Bulletin, 5:3, (12-22), Online publication date: 1-Jul-1994.
  2584. ACM
    Bui T and Moon B A fast and stable hybrid genetic algorithm for the ratio-cut partitioning problem on hypergraphs Proceedings of the 31st annual Design Automation Conference, (664-669)
  2585. Filho J, Treleaven P and Alippi C (1994). Genetic-Algorithm Programming Environments, Computer, 27:6, (28-43), Online publication date: 1-Jun-1994.
  2586. Srinivas M and Patnaik L (1994). Genetic algorithms, Computer, 27:6, (17-26), Online publication date: 1-Jun-1994.
  2587. Horng J, Chen G and Liu B (1994). Extending SQL with graph matching and set covering for decision support applications, Journal of Management Information Systems, 11:1, (101-129), Online publication date: 1-Jun-1994.
  2588. ACM
    Merkle L and Lamont G An initial analysis of data parallelism in the fast messy genetic algorithm Proceedings of the 1994 ACM symposium on Applied computing, (488-492)
  2589. ACM
    Corcoran A and Wainwright R A parallel island model genetic algorithm for the multiprocessor scheduling problem Proceedings of the 1994 ACM symposium on Applied computing, (483-487)
  2590. ACM
    Corcoran A and Hale J A genetic algorithm for fragment allocation in a distributed database system Proceedings of the 1994 ACM symposium on Applied computing, (247-250)
  2591. ACM
    Janikow C A genetic algorithm for learning fuzzy controllers Proceedings of the 1994 ACM symposium on Applied computing, (232-236)
  2592. ACM
    Karunanithi N and Carpenter T A ring loading application of genetic algorithms Proceedings of the 1994 ACM symposium on Applied computing, (227-231)
  2593. ACM
    Warwick T and Tsang E Using a genetic algorithm to tackle the processors configuration problem Proceedings of the 1994 ACM symposium on Applied computing, (217-221)
  2594. ACM
    Khuri S Walsh and Haar functions in genetic algorithms Proceedings of the 1994 ACM symposium on Applied computing, (201-205)
  2595. ACM
    Xiao Y and Williams D Molecular docking using genetic algorithms Proceedings of the 1994 ACM symposium on Applied computing, (196-200)
  2596. ACM
    Khuri S, Bäck T and Heitkötter J The zero/one multiple knapsack problem and genetic algorithms Proceedings of the 1994 ACM symposium on Applied computing, (188-193)
  2597. ACM
    Goldberg D (1994). Genetic and evolutionary algorithms come of age, Communications of the ACM, 37:3, (113-119), Online publication date: 1-Mar-1994.
  2598. ACM
    Karr C Genetic algorithms for modelling, design, and process control Proceedings of the second international conference on Information and knowledge management, (233-238)
  2599. ACM
    Dress W On modeling and controlling intelligent systems Proceedings of the second international conference on Information and knowledge management, (223-232)
  2600. Verschure P (1993). Formal Minds and Biological Brains, IEEE Expert: Intelligent Systems and Their Applications, 8:5, (66-75), Online publication date: 1-Oct-1993.
  2601. Schultz A, Grefenstette J and De Jong K (1993). Test and Evaluation by Genetic Algorithms, IEEE Expert: Intelligent Systems and Their Applications, 8:5, (9-14), Online publication date: 1-Oct-1993.
  2602. ACM
    Ngo J and Marks J Spacetime constraints revisited Proceedings of the 20th annual conference on Computer graphics and interactive techniques, (343-350)
  2603. ACM
    Grefenstette J Genetic algorithms and machine learning Proceedings of the sixth annual conference on Computational learning theory, (3-4)
  2604. ACM
    Yang C and Nygard K The effects of initial population in genetic search for time constrained traveling salesman problems Proceedings of the 1993 ACM conference on Computer science, (378-383)
  2605. ACM
    Hartley S and Konstam A Using genetic algorithms to generate Steiner triple systems Proceedings of the 1993 ACM conference on Computer science, (366-371)
  2606. ACM
    Purdin T and Harris G A genetic-algorithm approach to solving crossword puzzles Proceedings of the 1993 ACM/SIGAPP symposium on Applied computing: states of the art and practice, (263-270)
  2607. ACM
    Konstam A Linear discriminant analysis using genetic algorithms Proceedings of the 1993 ACM/SIGAPP symposium on Applied computing: states of the art and practice, (152-156)
  2608. ACM
    Chu P and Dudley S The effect of population structure on the rate of convergence of genetic algorithms Proceedings of the 1993 ACM/SIGAPP symposium on Applied computing: states of the art and practice, (147-151)
  2609. ACM
    Thangiah S and Nygard K Dynamic trajectory routing using an adaptive search method Proceedings of the 1993 ACM/SIGAPP symposium on Applied computing: states of the art and practice, (131-138)
  2610. ACM
    Corcoran A and Wainwright R LibGA Proceedings of the 1993 ACM/SIGAPP symposium on Applied computing: states of the art and practice, (111-117)
  2611. Duan Q, Gupta V and Sorooshian S (1993). Shuffled complex evolution approach for effective and efficient global minimization, Journal of Optimization Theory and Applications, 76:3, (501-521), Online publication date: 1-Mar-1993.
  2612. Maes P (1993). Modeling adaptive autonomous agents, Artificial Life, 1:1-2, (135-162), Online publication date: 1-Jan-1993.
  2613. Mohan S and Mazumder P Wolverines Proceedings of the conference on European design automation, (46-51)
  2614. Wah B (1992). Population-Based Learning, IEEE Transactions on Knowledge and Data Engineering, 4:5, (454-474), Online publication date: 1-Oct-1992.
  2615. Greene D and Smith S COGIN Proceedings of the tenth national conference on Artificial intelligence, (111-116)
  2616. ACM
    Forrest S and Perelson A (1992). Computation and the immune system, ACM SIGBIO Newsletter, 12:2, (52-57), Online publication date: 1-Jun-1992.
  2617. ACM
    Sumida B (1992). Genetics for genetic algorithms, ACM SIGBIO Newsletter, 12:2, (44-46), Online publication date: 1-Jun-1992.
  2618. ACM
    Bäck T (1992). Evolutionary algorithms, ACM SIGBIO Newsletter, 12:2, (26-31), Online publication date: 1-Jun-1992.
  2619. Sikora R (1992). Learning Control Strategies for Chemical Processes, IEEE Expert: Intelligent Systems and Their Applications, 7:3, (35-43), Online publication date: 1-Jun-1992.
  2620. ACM
    Konstam A, Hartley S and Carr W Optimization in a distributed processing environment using genetic algorithms with multivariate crossover Proceedings of the 1992 ACM annual conference on Communications, (109-116)
  2621. ACM
    Abunawass A (1992). Biologically based machine learning paradigms, ACM SIGCSE Bulletin, 24:1, (87-91), Online publication date: 1-Mar-1992.
  2622. ACM
    Abunawass A Biologically based machine learning paradigms Proceedings of the twenty-third SIGCSE technical symposium on Computer science education, (87-91)
  2623. ACM
    Crawford K Solving the n-queens problem using genetic algorithms Proceedings of the 1992 ACM/SIGAPP symposium on Applied computing: technological challenges of the 1990's, (1039-1047)
  2624. ACM
    Mutalik P, Knight L, Blanton J and Wainwright R Solving combinatorial optimization problems using parallel simulated annealing and parallel genetic algorithms Proceedings of the 1992 ACM/SIGAPP symposium on Applied computing: technological challenges of the 1990's, (1031-1038)
  2625. ACM
    Beaty S Genetic algorithms and instruction scheduling Proceedings of the 24th annual international symposium on Microarchitecture, (206-211)
  2626. Varsek A Qualitative model evolution Proceedings of the 12th international joint conference on Artificial intelligence - Volume 2, (1311-1316)
  2627. Kelly J and Davis L A hybrid genetic algorithm for classification Proceedings of the 12th international joint conference on Artificial intelligence - Volume 2, (645-650)
  2628. ACM
    Sims K (1991). Artificial evolution for computer graphics, ACM SIGGRAPH Computer Graphics, 25:4, (319-328), Online publication date: 2-Jul-1991.
  2629. ACM
    Sims K Artificial evolution for computer graphics Proceedings of the 18th annual conference on Computer graphics and interactive techniques, (319-328)
  2630. ACM
    Talbi E and Bessière P A parallel genetic algorithm for the graph partitioning problem Proceedings of the 5th international conference on Supercomputing, (312-320)
  2631. Vose M (1991). Determining concepts by group membership, Applicable Algebra in Engineering, Communication and Computing, 2:2, (139-146), Online publication date: 1-Jun-1991.
  2632. Belew R (1991). Artificial Life, IEEE Expert: Intelligent Systems and Their Applications, 6:1, (8-15), Online publication date: 1-Feb-1991.
  2633. ACM
    Beaty S, Whitley D and Johnson G (1991). Motivation and framework for using genetic algorithms for microcode compaction, ACM SIGMICRO Newsletter, 22:1, (20-27), Online publication date: 1-Jan-1991.
  2634. Beaty S, Whitley D and Johnson G Motivation and framework for using genetic algorithms for microcode compaction Proceedings of the 23rd annual workshop and symposium on Microprogramming and microarchitecture, (117-124)
  2635. ACM
    Potter W, Tonn B, Hilliard M, Liepins G, Purucker S and Goeltz R Diagnosis, parsimony, and genetic algorithms Proceedings of the 3rd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 1, (1-8)
  2636. Gale W, Das S and Yu C (1990). Improvements to an Algorithm for Equipartitioning, IEEE Transactions on Computers, 39:5, (706-710), Online publication date: 1-May-1990.
  2637. ACM
    Fuquay D and Whitley D Genetic algorithm solutions for the traveling salesman problem Proceedings of the 28th annual ACM Southeast Regional Conference, (143-150)
  2638. Shahookar K and Mazumder P GASP Proceedings of the conference on European design automation, (660-664)
  2639. ACM
    Tardy J (1990). The monterège Cogitator, ACM SIGART Bulletin, 1:1, (3-9), Online publication date: 1-Jan-1990.
  2640. Rendell L A study of empirical learning for an involved problem Proceedings of the 11th international joint conference on Artificial intelligence - Volume 1, (615-620)
  2641. Hill W (1989). The Mind at AI, AI Magazine, 10:2, (29-41), Online publication date: 1-Jun-1989.
  2642. ACM
    Chung H (1989). Empirical analysis of inductive knowledge acquisition methods, ACM SIGART Bulletin:108, (156-159), Online publication date: 1-Apr-1989.
  2643. ACM
    Gordon M (1988). Probabilistic and genetic algorithms in document retrieval, Communications of the ACM, 31:10, (1208-1218), Online publication date: 1-Oct-1988.
  2644. ACM
    Sen S Sequential Boolean function learning by classifier system Proceedings of the 1st international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 2, (1151-1156)
  2645. ACM
    Zhou H A study of automatic rule generation and adaption Proceedings of the 1st international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 2, (747-753)
  2646. ACM
    Hilliard M, Liepins G and Palmer M Machine learning applications to job shop scheduling Proceedings of the 1st international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 2, (728-737)
  2647. ACM
    Pettey C and Leuze M Parallel placement of parallel processes Proceedings of the third conference on Hypercube concurrent computers and applications: Architecture, software, computer systems, and general issues - Volume 1, (232-238)
  2648. ACM
    Stanfill C and Waltz D (1986). Toward memory-based reasoning, Communications of the ACM, 29:12, (1213-1228), Online publication date: 1-Dec-1986.
  2649. ACM
    Slagle J and Hamburger H (1985). An expert system for a resource allocation problem, Communications of the ACM, 28:9, (994-1004), Online publication date: 1-Sep-1985.
  2650. ACM
    Gordon M A learning algorithm applied to document redescription Proceedings of the 8th annual international ACM SIGIR conference on Research and development in information retrieval, (179-186)
  2651. Lindsay R (1985). Artificial Intelligence Research at The University of Michigan, AI Magazine, 6:2, (64-72), Online publication date: 1-Jun-1985.
  2652. ACM
    Raghavan V and Birchard K A clustering strategy based on a formalism of the reproductive process in natural systems Proceedings of the 2nd annual international ACM SIGIR conference on Information storage and retrieval: information implications into the eighties, (10-22)
  2653. ACM
    Raghavan V and Birchard K (1979). A clustering strategy based on a formalism of the reproductive process in natural systems, ACM SIGIR Forum, 14:2, (10-22), Online publication date: 1-Sep-1979.
  2654. ACM
    Cavicchio D Reproductive adaptive plans Proceedings of the ACM annual conference - Volume 1, (60-70)
  2655. ACM
    Biswas S, Chen F, Chen Z, Lu C and Ramakrishnan N Memetic algorithms for Spatial Partitioning problems, ACM Transactions on Spatial Algorithms and Systems, 0:0
  2656. Noda T, Nagashima T, Wei X, Kazimierczuk M and Sekiya H Design procedure for wireless power transfer system with inductive coupling-coil optimizations using PSO 2016 IEEE International Symposium on Circuits and Systems (ISCAS), (646-649)
  2657. D'Andrea E and Lazzerini B An ensemble of learning machines for quantitative analysis of bronze alloys IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, (843-848)
  2658. Miyasaka M, Haghighipanah M, Li Y and Hannaford B Hysteresis model of longitudinally loaded cable for cable driven robots and identification of the parameters 2016 IEEE International Conference on Robotics and Automation (ICRA), (4051-4057)
  2659. Proença H, Vieira S, Kaymak U, Almeida R and Sousa J Optimizing probabilistic fuzzy systems for classification using metaheuristics 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), (1635-1641)
  2660. Naik N, Diao R and Shen Q Choice of effective fitness functions for genetic algorithm-aided dynamic fuzzy rule interpolation 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), (1-8)
  2661. Silla C Teaching genetic algorithm-based parameter optimization using Pacman 2016 IEEE Frontiers in Education Conference (FIE), (1-6)
  2662. Kovacs T, Rawles S, Bull L, Nakata M and Takadama K XCS-DH: Minimal default hierarchies in XCS 2016 IEEE Congress on Evolutionary Computation (CEC), (4747-4754)
  2663. Hlynka A and Kobti Z Heritage-dynamic cultural algorithm for multi-population solutions 2016 IEEE Congress on Evolutionary Computation (CEC), (4398-4404)
  2664. Laili Y, Tao F and Zhang L Multi operators-based partial connected parallel evolutionary algorithm 2016 IEEE Congress on Evolutionary Computation (CEC), (4289-4296)
  2665. Turky A, Sabar N and Song A A multi-population memetic algorithm for dynamic shortest path routing in mobile ad-hoc networks 2016 IEEE Congress on Evolutionary Computation (CEC), (4119-4126)
  2666. Fajardo-Delgado D, Sánchez M, Molinar-Solis J, Fernandez-Zepeda J, Vidal V and Verdiú G A hybrid genetic algorithm for color image denoising 2016 IEEE Congress on Evolutionary Computation (CEC), (3879-3886)
  2667. Qu X, Li H, Zhang R and Liu B An effective TLBO-based memetic algorithm for hypersonic reentry trajectory optimization 2016 IEEE Congress on Evolutionary Computation (CEC), (3178-3185)
  2668. Wiechert G, Triff M, Liu Z, Yin Z, Zhao S, Zhong Z and Lingras P Evolutionary semi-supervised rough categorization of brain signals from a wearable headband 2016 IEEE Congress on Evolutionary Computation (CEC), (3131-3138)
  2669. Punnathanam V and Kotecha P Reduced Yin-Yang-Pair optimization and its performance on the CEC 2016 expensive case 2016 IEEE Congress on Evolutionary Computation (CEC), (2996-3002)
  2670. Yu C, Srinivasan D and Wang Q Global optimization through randomized group search in contracting regions 2016 IEEE Congress on Evolutionary Computation (CEC), (2813-2820)
  2671. Abdelbar A and Salama K An extension of the ACOR algorithm with time-decaying search width, with application to neural network training 2016 IEEE Congress on Evolutionary Computation (CEC), (2360-2366)
  2672. Dantas Dias M and Neto A Evolutionary support vector machines: A dual approach 2016 IEEE Congress on Evolutionary Computation (CEC), (2185-2192)
  2673. Liaw R and Ting C Enhancing covariance matrix adaptation evolution strategy through fitness inheritance 2016 IEEE Congress on Evolutionary Computation (CEC), (1956-1963)
  2674. Balouek-Thomert D, Bhattacharya A, Caron E, Gadireddy K and Lefevre L Parallel differential evolution approach for cloud workflow placements under simultaneous optimization of multiple objectives 2016 IEEE Congress on Evolutionary Computation (CEC), (822-829)
  2675. Mishra S, Saha S and Mondal S An automatic framework for entity matching in bibliographic databases 2016 IEEE Congress on Evolutionary Computation (CEC), (271-278)
  2676. Büttner T, Roennau A, Heppner G, Pfotzer L and Dillmann R Bio-inspired optimization of kinematic models for multi-legged walking robots 2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob), (430-435)
Contributors
  • University of Michigan, Ann Arbor

Recommendations