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Slim Bechikh
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- affiliation: University of Carthage, FSEG-Nabeul, Tunisia
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2020 – today
- 2024
- [j43]Kaouther Ben Ali, Slim Bechikh, Ali Louati, Hassen Louati, Elham Kariri:
Dynamic Job Shop Scheduling Problem With New Job Arrivals Using Hybrid Genetic Algorithm. IEEE Access 12: 85338-85354 (2024) - [j42]Omar Ben Amor, Zaineb Chelly Dagdia, Slim Bechikh, Lamjed Ben Said:
Many-objective optimization of wireless sensor network deployment. Evol. Intell. 17(2): 1047-1063 (2024) - [j41]Hassen Louati, Ali Louati, Slim Bechikh, Elham Kariri:
Joint filter and channel pruning of convolutional neural networks as a bi-level optimization problem. Memetic Comput. 16(1): 71-90 (2024) - [c51]Safa Mahouachi, Maha Elarbi, Khaled Sethom, Slim Bechikh, Carlos A. Coello Coello:
A Bi-Level Evolutionary Model Tree Induction Approach for Regression. CEC 2024: 1-9 - [c50]Kaouther Ben Ali, Hassen Louati, Slim Bechikh:
A Self-learning Particle Swarm Optimization Algorithm for Dynamic Job Shop Scheduling Problem with New Jobs Insertion. ICSI (1) 2024: 70-84 - 2023
- [j40]Marwa Chabbouh, Slim Bechikh, Efrén Mezura-Montes, Lamjed Ben Said:
Imbalanced multi-label data classification as a bi-level optimization problem: application to miRNA-related diseases diagnosis. Neural Comput. Appl. 35(22): 16285-16303 (2023) - [j39]Rihab Said, Maha Elarbi, Slim Bechikh, Carlos Artemio Coello Coello, Lamjed Ben Said:
Discretization-Based Feature Selection as a Bilevel Optimization Problem. IEEE Trans. Evol. Comput. 27(4): 893-907 (2023) - [j38]Hassen Louati, Ali Louati, Slim Bechikh, Elham Kariri:
Embedding channel pruning within the CNN architecture design using a bi-level evolutionary approach. J. Supercomput. 79(14): 16118-16151 (2023) - [c49]Manel Jerbi, Zaineb Chelly Dagdia, Slim Bechikh, Lamjed Ben Said:
Immune-Based System to Enhance Malware Detection. CEC 2023: 1-8 - [c48]Rihab Said, Slim Bechikh, Carlos A. Coello Coello, Lamjed Ben Said:
Solving the Discretization-based Feature Construction Problem using Bi-level Evolutionary Optimization. CEC 2023: 1-8 - [c47]Rocío Salinas-Guerra, Efrén Mezura-Montes, Marcela Quiroz-Castellanos, Jesús-Adolfo Mejía-de-Dios, Slim Bechikh:
A Hybrid Evolutionary Approach with Group-Based Solution Encoding for Solving the Constrained Bilevel Multi-Depot Vehicle Routing Problem. CEC 2023: 1-8 - [c46]Hassen Louati, Ali Louati, Elham Kariri, Slim Bechikh:
Optimizing Deep Learning for Computer-Aided Diagnosis of Lung Diseases: An Automated Method Combining Evolutionary Algorithm and Transfer Learning. ICCCI (CCIS Volume) 2023: 83-95 - 2022
- [j37]Sofien Boutaib, Maha Elarbi, Slim Bechikh, Carlos A. Coello Coello, Lamjed Ben Said:
Uncertainty-wise software anti-patterns detection: A possibilistic evolutionary machine learning approach. Appl. Soft Comput. 129: 109620 (2022) - [j36]Hassen Louati, Ali Louati, Slim Bechikh, Fatma Masmoudi, Abdulaziz Aldaej, Elham Kariri:
Topology optimization search of deep convolution neural networks for CT and X-ray image classification. BMC Medical Imaging 22(1): 120 (2022) - [j35]Manel Jerbi, Zaineb Chelly Dagdia, Slim Bechikh, Lamjed Ben Said:
Android malware detection as a Bi-level problem. Comput. Secur. 121: 102825 (2022) - [j34]Sofien Boutaib, Maha Elarbi, Slim Bechikh, Fabio Palomba, Lamjed Ben Said:
Handling uncertainty in SBSE: a possibilistic evolutionary approach for code smells detection. Empir. Softw. Eng. 27(6): 124 (2022) - [j33]Maha Elarbi, Chaima Elwadi, Slim Bechikh, Zied Bahroun, Lamjed Ben Said:
An Evolutionary Multi-objective Approach for Coordinating Supplier-Producer Conflict in Lot Sizing. Int. J. Inf. Technol. Decis. Mak. 21(2): 541-575 (2022) - [j32]Hassen Louati, Slim Bechikh, Ali Louati, Abdulaziz Aldaej, Lamjed Ben Said:
Joint design and compression of convolutional neural networks as a Bi-level optimization problem. Neural Comput. Appl. 34(17): 15007-15029 (2022) - [j31]Rihab Said, Maha Elarbi, Slim Bechikh, Lamjed Ben Said:
Solving combinatorial bi-level optimization problems using multiple populations and migration schemes. Oper. Res. 22(3): 1697-1735 (2022) - [c45]Rihab Said, Maha Elarbi, Slim Bechikh, Carlos A. Coello Coello, Lamjed Ben Said:
Interval-based Cost-sensitive Classification Tree Induction as a Bi-level Optimization Problem. CEC 2022: 1-8 - [c44]Manel Jerbi, Zaineb Chelly Dagdia, Slim Bechikh, Lamjed Ben Said:
Malware Evolution and Detection Based on the Variable Precision Rough Set Model. FedCSIS 2022: 253-262 - [c43]Rihab Said, Maha Elarbi, Slim Bechikh, Carlos A. Coello Coello, Lamjed Ben Said:
Cost-sensitive classification tree induction as a bi-level optimization problem. GECCO Companion 2022: 284-287 - [c42]Sofien Boutaib, Maha Elarbi, Slim Bechikh, Fabio Palomba, Lamjed Ben Said:
A bi-level evolutionary approach for the multi-label detection of smelly classes. GECCO Companion 2022: 782-785 - [c41]Hassen Louati, Ali Louati, Slim Bechikh, Lamjed Ben Said:
Design and Compression Study for Convolutional Neural Networks Based on Evolutionary Optimization for Thoracic X-Ray Image Classification. ICCCI 2022: 283-296 - [c40]Hassen Louati, Slim Bechikh, Ali Louati, Abdulaziz Aldaej, Lamjed Ben Said:
Evolutionary Optimization for CNN Compression Using Thoracic X-Ray Image Classification. IEA/AIE 2022: 112-123 - 2021
- [j30]Sofien Boutaib, Slim Bechikh, Fabio Palomba, Maha Elarbi, Mohamed Makhlouf, Lamjed Ben Said:
Code smell detection and identification in imbalanced environments. Expert Syst. Appl. 166: 114076 (2021) - [j29]Mohamed Amine Abdeljaouad, Zied Bahroun, Slim Bechikh:
Evolutionary multi-objective optimisation: a bibliometric study. Int. J. Math. Oper. Res. 20(3): 328-354 (2021) - [j28]Hassen Louati, Slim Bechikh, Ali Louati, Chih-Cheng Hung, Lamjed Ben Said:
Deep convolutional neural network architecture design as a bi-level optimization problem. Neurocomputing 439: 44-62 (2021) - [j27]Maha Elarbi, Slim Bechikh, Lamjed Ben Said:
On the importance of isolated infeasible solutions in the many-objective constrained NSGA-III. Knowl. Based Syst. 227: 104335 (2021) - [c39]Sofien Boutaib, Maha Elarbi, Slim Bechikh, Chih-Cheng Hung, Lamjed Ben Said:
Software Anti-patterns Detection Under Uncertainty Using a Possibilistic Evolutionary Approach. EuroGP 2021: 181-197 - [c38]Manel Jerbi, Zaineb Chelly Dagdia, Slim Bechikh, Lamjed Ben Said:
Malware Detection Using Rough Set Based Evolutionary Optimization. ICONIP (5) 2021: 634-641 - [c37]Sofien Boutaib, Maha Elarbi, Slim Bechikh, Mohamed Makhlouf, Lamjed Ben Said:
Dealing with Label Uncertainty in Web Service Anti-patterns Detection using a Possibilistic Evolutionary Approach. ICWS 2021: 347-357 - [c36]Hassen Louati, Slim Bechikh, Ali Louati, Abdulaziz Aldaej, Lamjed Ben Said:
Evolutionary Optimization of Convolutional Neural Network Architecture Design for Thoracic X-Ray Image Classification. IEA/AIE (1) 2021: 121-132 - [c35]Sofien Boutaib, Maha Elarbi, Slim Bechikh, Fabio Palomba, Lamjed Ben Said:
A Possibilistic Evolutionary Approach to Handle the Uncertainty of Software Metrics Thresholds in Code Smells Detection. QRS 2021: 574-585 - 2020
- [j26]Anouer Bennajeh, Slim Bechikh, Lamjed Ben Said, Samir Aknine:
Multi-Agent Cooperation for an Active Perception Based on Driving Behavior: Application in a Car-Following Behavior. Appl. Artif. Intell. 34(10): 710-729 (2020) - [j25]Rihab Said, Slim Bechikh, Ali Louati, Abdulaziz Aldaej, Lamjed Ben Said:
Solving Combinatorial Multi-Objective Bi-Level Optimization Problems Using Multiple Populations and Migration Schemes. IEEE Access 8: 141674-141695 (2020) - [j24]Manel Jerbi, Zaineb Chelly Dagdia, Slim Bechikh, Lamjed Ben Said:
On the use of artificial malicious patterns for android malware detection. Comput. Secur. 92: 101743 (2020) - [j23]Marwa Hammami, Slim Bechikh, Ali Louati, Mohamed Makhlouf, Lamjed Ben Said:
Feature construction as a bi-level optimization problem. Neural Comput. Appl. 32(17): 13783-13804 (2020) - [j22]Abir Chaabani, Slim Bechikh, Lamjed Ben Said:
A co-evolutionary hybrid decomposition-based algorithm for bi-level combinatorial optimization problems. Soft Comput. 24(10): 7211-7229 (2020) - [j21]Maha Elarbi, Slim Bechikh, Carlos A. Coello Coello, Mohamed Makhlouf, Lamjed Ben Said:
Approximating Complex Pareto Fronts With Predefined Normal-Boundary Intersection Directions. IEEE Trans. Evol. Comput. 24(5): 809-823 (2020) - [c34]Marwa Hammami, Slim Bechikh, Mohamed Makhlouf, Chih-Cheng Hung, Lamjed Ben Said:
Class Dependent Feature Construction as a Bi-level optimization Problem. CEC 2020: 1-8 - [c33]Sofien Boutaib, Slim Bechikh, Carlos A. Coello Coello, Chih-Cheng Hung, Lamjed Ben Said:
Handling uncertainty in code smells detection using a possibilistic SBSE approach. GECCO Companion 2020: 303-304 - [c32]Marwa Hammami, Slim Bechikh, Chih-Cheng Hung, Lamjed Ben Said:
Class-Dependent Weighted Feature Selection as a Bi-Level Optimization Problem. ICONIP (5) 2020: 269-278 - [i1]Mohamed Wiem Mkaouer, Marouane Kessentini, Adnan Shaout, Patrice Koligheu, Slim Bechikh, Kalyanmoy Deb, Ali Ouni:
Many-Objective Software Remodularization using NSGA-III. CoRR abs/2005.06510 (2020)
2010 – 2019
- 2019
- [j20]Anouer Bennajeh, Slim Bechikh, Lamjed Ben Said, Samir Aknine:
Bi-level Decision-making Modeling for an Autonomous Driver Agent: Application in the Car-following Driving Behavior. Appl. Artif. Intell. 33(13): 1157-1178 (2019) - [j19]Marwa Hammami, Slim Bechikh, Chih-Cheng Hung, Lamjed Ben Said:
A Multi-objective hybrid filter-wrapper evolutionary approach for feature selection. Memetic Comput. 11(2): 193-208 (2019) - [j18]Marwa Chabbouh, Slim Bechikh, Chih-Cheng Hung, Lamjed Ben Said:
Multi-objective evolution of oblique decision trees for imbalanced data binary classification. Swarm Evol. Comput. 49: 1-22 (2019) - [c31]Marwa Hammami, Slim Bechikh, Chih-Cheng Hung, Lamjed Ben Said:
Weighted-Features Construction as a Bi-level Problem. CEC 2019: 1604-1611 - [c30]Slim Bechikh, Maha Elarbi, Chih-Cheng Hung, Sabrine Hamdi, Lamjed Ben Said:
A Hybrid Evolutionary Algorithm with Heuristic Mutation for Multi-objective Bi-clustering. CEC 2019: 2323-2330 - [c29]Wajira Abeysinghe, Michael Wong, Chih-Cheng Hung, Slim Bechikh:
A Constrained Box Algorithm for Imbalanced Data in Satellite Images. IGARSS 2019: 3089-3092 - 2018
- [j17]Abir Chaabani, Slim Bechikh, Lamjed Ben Said:
A new co-evolutionary decomposition-based algorithm for bi-level combinatorial optimization. Appl. Intell. 48(9): 2847-2872 (2018) - [j16]Radhia Azzouz, Slim Bechikh, Lamjed Ben Said, Walid Trabelsi:
Handling time-varying constraints and objectives in dynamic evolutionary multi-objective optimization. Swarm Evol. Comput. 39: 222-248 (2018) - [j15]Slim Bechikh, Carlos Artemio Coello Coello:
Advances in Evolutionary Multi-objective Optimization. Swarm Evol. Comput. 40: 155-157 (2018) - [j14]Anouer Bennajeh, Slim Bechikh, Lamjed Ben Said, Samir Aknine:
A Fuzzy Logic-Based Anticipation Car-Following Model. Trans. Comput. Collect. Intell. 30: 200-222 (2018) - [j13]Maha Elarbi, Slim Bechikh, Abhishek Gupta, Lamjed Ben Said, Yew-Soon Ong:
A New Decomposition-Based NSGA-II for Many-Objective Optimization. IEEE Trans. Syst. Man Cybern. Syst. 48(7): 1191-1210 (2018) - [c28]Marwa Hammami, Slim Bechikh, Chih-Cheng Hung, Lamjed Ben Said:
A Multi-Objective Hybrid Filter-Wrapper Evolutionary Approach for Feature Construction on High-Dimensional Data. CEC 2018: 1-8 - [c27]Wajira Abeysinghe, Chih-Cheng Hung, Slim Bechikh, Xiaosong Wang, Altaf Rattani:
Clustering algorithms on imbalanced data using the SMOTE technique for image segmentation. RACS 2018: 17-22 - 2017
- [j12]Radhia Azzouz, Slim Bechikh, Lamjed Ben Said:
A dynamic multi-objective evolutionary algorithm using a change severity-based adaptive population management strategy. Soft Comput. 21(4): 885-906 (2017) - [c26]Maha Elarbi, Slim Bechikh, Lamjed Ben Said:
On the importance of isolated solutions in constrained decomposition-based many-objective optimization. GECCO 2017: 561-568 - [c25]Meriem Bousselmi, Slim Bechikh, Chih-Cheng Hung, Lamjed Ben Said:
Bi-MOCK: A Multi-objective Evolutionary Algorithm for Bi-clustering with Automatic Determination of the Number of Bi-clusters. ICONIP (4) 2017: 366-376 - [c24]Abir Chaabani, Slim Bechikh, Lamjed Ben Said:
A Co-evolutionary Decomposition-based Chemical Reaction Algorithm for Bi-level Combinatorial Optimization Problems. KES 2017: 780-789 - [p4]Maha Elarbi, Slim Bechikh, Lamjed Ben Said, Rituparna Datta:
Multi-objective Optimization: Classical and Evolutionary Approaches. Recent Advances in Evolutionary Multi-objective Optimization 2017: 1-30 - [p3]Radhia Azzouz, Slim Bechikh, Lamjed Ben Said:
Dynamic Multi-objective Optimization Using Evolutionary Algorithms: A Survey. Recent Advances in Evolutionary Multi-objective Optimization 2017: 31-70 - [p2]Slim Bechikh, Maha Elarbi, Lamjed Ben Said:
Many-objective Optimization Using Evolutionary Algorithms: A Survey. Recent Advances in Evolutionary Multi-objective Optimization 2017: 105-137 - [p1]Arun Kumar Sharma, Rituparna Datta, Maha Elarbi, Bishakh Bhattacharya, Slim Bechikh:
Practical Applications in Constrained Evolutionary Multi-objective Optimization. Recent Advances in Evolutionary Multi-objective Optimization 2017: 159-179 - [e1]Slim Bechikh, Rituparna Datta, Abhishek Gupta:
Recent Advances in Evolutionary Multi-objective Optimization. Adaptation, Learning, and Optimization 20, Springer 2017, ISBN 978-3-319-42977-9 [contents] - 2016
- [j11]Mohamed Wiem Mkaouer, Marouane Kessentini, Slim Bechikh, Mel Ó Cinnéide, Kalyanmoy Deb:
On the use of many quality attributes for software refactoring: a many-objective search-based software engineering approach. Empir. Softw. Eng. 21(6): 2503-2545 (2016) - [c23]Abir Chaabani, Slim Bechikh, Lamjed Ben Said:
A memetic evolutionary algorithm for bi-level combinatorial optimization: A realization between Bi-MDVRP and Bi-CVRP. CEC 2016: 1666-1673 - [c22]Walid Trabelsi, Radhia Azzouz, Slim Bechikh, Lamjed Ben Said:
Leveraging evolutionary algorithms for dynamic multi-objective optimization scheduling of multi-tenant smart home appliances. CEC 2016: 3533-3540 - [c21]Maha Elarbi, Slim Bechikh, Lamjed Ben Said, Chih-Cheng Hung:
Solving many-objective problems using targeted search directions. SAC 2016: 89-96 - 2015
- [j10]Slim Bechikh, Marouane Kessentini, Lamjed Ben Said, Khaled Ghédira:
Chapter Four - Preference Incorporation in Evolutionary Multiobjective Optimization: A Survey of the State-of-the-Art. Adv. Comput. 98: 141-207 (2015) - [j9]Usman Mansoor, Marouane Kessentini, Philip Langer, Manuel Wimmer, Slim Bechikh, Kalyanmoy Deb:
MOMM: Multi-objective model merging. J. Syst. Softw. 103: 423-439 (2015) - [j8]Ali Ouni, Marouane Kessentini, Slim Bechikh, Houari A. Sahraoui:
Prioritizing code-smells correction tasks using chemical reaction optimization. Softw. Qual. J. 23(2): 323-361 (2015) - [j7]Slim Bechikh, Abir Chaabani, Lamjed Ben Said:
An Efficient Chemical Reaction Optimization Algorithm for Multiobjective Optimization. IEEE Trans. Cybern. 45(10): 2051-2064 (2015) - [j6]Wiem Mkaouer, Marouane Kessentini, Adnan Shaout, Patrice Koligheu, Slim Bechikh, Kalyanmoy Deb, Ali Ouni:
Many-Objective Software Remodularization Using NSGA-III. ACM Trans. Softw. Eng. Methodol. 24(3): 17:1-17:45 (2015) - [c20]Abir Chaabani, Slim Bechikh, Lamjed Ben Said:
A Co-Evolutionary Decomposition-based Algorithm for Bi-Level combinatorial Optimization. CEC 2015: 1659-1666 - [c19]Radhia Azzouz, Slim Bechikh, Lamjed Ben Said:
Multi-objective Optimization with Dynamic Constraints and Objectives: New Challenges for Evolutionary Algorithms. GECCO 2015: 615-622 - [c18]Abir Chaabani, Slim Bechikh, Lamjed Ben Said, Radhia Azzouz:
An Improved Co-evolutionary Decomposition-based Algorithm for Bi-level Combinatorial Optimization. GECCO (Companion) 2015: 1363-1364 - 2014
- [j5]Marouane Kessentini, Ali Ouni, Philip Langer, Manuel Wimmer, Slim Bechikh:
Search-based metamodel matching with structural and syntactic measures. J. Syst. Softw. 97: 1-14 (2014) - [j4]Dilan Sahin, Marouane Kessentini, Slim Bechikh, Kalyanmoy Deb:
Code-Smell Detection as a Bilevel Problem. ACM Trans. Softw. Eng. Methodol. 24(1): 6:1-6:44 (2014) - [j3]Wael Kessentini, Marouane Kessentini, Houari A. Sahraoui, Slim Bechikh, Ali Ouni:
A Cooperative Parallel Search-Based Software Engineering Approach for Code-Smells Detection. IEEE Trans. Software Eng. 40(9): 841-861 (2014) - [c17]Radhia Azzouz, Slim Bechikh, Lamjed Ben Said:
A Multiple Reference Point-based evolutionary algorithm for dynamic multi-objective optimization with undetectable changes. IEEE Congress on Evolutionary Computation 2014: 3168-3175 - [c16]Abir Chaabani, Slim Bechikh, Lamjed Ben Said:
An indicator-based chemical reaction optimization algorithm for multi-objective search. GECCO (Companion) 2014: 85-86 - [c15]Mohamed Wiem Mkaouer, Marouane Kessentini, Slim Bechikh, Mel Ó Cinnéide, Kalyanmoy Deb:
Software refactoring under uncertainty: a robust multi-objective approach. GECCO (Companion) 2014: 187-188 - [c14]Nessrine Azzouz, Slim Bechikh, Lamjed Ben Said:
Steady state IBEA assisted by MLP neural networks for expensive multi-objective optimization problems. GECCO 2014: 581-588 - [c13]Mohamed Wiem Mkaouer, Marouane Kessentini, Slim Bechikh, Kalyanmoy Deb, Mel Ó Cinnéide:
High dimensional search-based software engineering: finding tradeoffs among 15 objectives for automating software refactoring using NSGA-III. GECCO 2014: 1263-1270 - [c12]Mohamed Wiem Mkaouer, Marouane Kessentini, Slim Bechikh, Kalyanmoy Deb, Mel Ó Cinnéide:
Recommendation system for software refactoring using innovization and interactive dynamic optimization. ASE 2014: 331-336 - [c11]Boukhdhir Amal, Marouane Kessentini, Slim Bechikh, Josselin Dea, Lamjed Ben Said:
On the Use of Machine Learning and Search-Based Software Engineering for Ill-Defined Fitness Function: A Case Study on Software Refactoring. SSBSE 2014: 31-45 - [c10]Mohamed Wiem Mkaouer, Marouane Kessentini, Slim Bechikh, Mel Ó Cinnéide:
A Robust Multi-objective Approach for Software Refactoring under Uncertainty. SSBSE 2014: 168-183 - 2013
- [c9]Mohamed Wiem Mkaouer, Marouane Kessentini, Slim Bechikh, Daniel R. Tauritz:
Preference-based multi-objective software modelling. CMSBSE@ICSE 2013: 61-66 - [c8]Sabrine Kalboussi, Slim Bechikh, Marouane Kessentini, Lamjed Ben Said:
On the Influence of the Number of Objectives in Evolutionary Autonomous Software Agent Testing. ICTAI 2013: 229-234 - [c7]Mohamed Boussaa, Wael Kessentini, Marouane Kessentini, Slim Bechikh, Soukeina Ben Chikha:
Competitive Coevolutionary Code-Smells Detection. SSBSE 2013: 50-65 - [c6]Sabrine Kalboussi, Slim Bechikh, Marouane Kessentini, Lamjed Ben Said:
Preference-Based Many-Objective Evolutionary Testing Generates Harder Test Cases for Autonomous Agents. SSBSE 2013: 245-250 - 2012
- [c5]Radhia Azzouz, Slim Bechikh, Lamjed Ben Said:
Articulating Decision Maker's Preference Information within Multiobjective Artificial Immune Systems. ICTAI 2012: 327-334 - 2011
- [j2]Slim Bechikh, Lamjed Ben Said, Khaled Ghédira:
Searching for knee regions of the Pareto front using mobile reference points. Soft Comput. 15(9): 1807-1823 (2011) - [c4]Slim Bechikh, Lamjed Ben Said, Khaled Ghédira:
Negotiating decision makers' reference points for group preference-based Evolutionary Multi-objective Optimization. HIS 2011: 377-382 - 2010
- [j1]Lamjed Ben Said, Slim Bechikh, Khaled Ghédira:
The r-Dominance: A New Dominance Relation for Interactive Evolutionary Multicriteria Decision Making. IEEE Trans. Evol. Comput. 14(5): 801-818 (2010) - [c3]Slim Bechikh, Lamjed Ben Said, Khaled Ghédira:
Estimating nadir point in multi-objective optimization using mobile reference points. IEEE Congress on Evolutionary Computation 2010: 1-9 - [c2]Slim Bechikh, Lamjed Ben Said, Khaled Ghédira:
Searching for knee regions in multi-objective optimization using mobile reference points. SAC 2010: 1118-1125
2000 – 2009
- 2008
- [c1]Slim Bechikh, Nabil Belgasmi, Lamjed Ben Said, Khaled Ghédira:
PHC-NSGA-II: A Novel Multi-objective Memetic Algorithm for Continuous Optimization. ICTAI (1) 2008: 180-189
Coauthor Index
aka: Carlos Artemio Coello Coello
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