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ORCIDThomas Stützle
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- affiliation: Université libre de Bruxelles, Belgium
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2020 – today
- 2025
[j111]David Garzón-Ramos
, Federico Pagnozzi, Thomas Stützle, Mauro Birattari:
Automatic Design of Robot Swarms under Concurrent Design Criteria: A Study Based on Iterated F-Race. Adv. Intell. Syst. 7(1) (2025)- 2024
- [j110]Raúl Martín-Santamaría, Manuel López-Ibáñez, Thomas Stützle, J. Manuel Colmenar:
On the automatic generation of metaheuristic algorithms for combinatorial optimization problems. Eur. J. Oper. Res. 318(3): 740-751 (2024) - [e16]Thomas Stützle, Markus Wagner:
Evolutionary Computation in Combinatorial Optimization - 24th European Conference, EvoCOP 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3-5, 2024, Proceedings. Lecture Notes in Computer Science 14632, Springer 2024, ISBN 978-3-031-57711-6 [contents] - [d3]Raúl Martín-Santamaría, Manuel López-Ibáñez, Thomas Stützle, José Manuel Colmenar:
Autoconfig: Balanced Minimum sum-of-squares clustering case. Zenodo, 2024
- [d2]Raúl Martín-Santamaría, Manuel López-Ibáñez, Thomas Stützle, José Manuel Colmenar:
Autoconfig: Vehicle Routing Problem with Occasional Drivers. Zenodo, 2024 - 2023
- [j109]Alberto Franzin, Thomas Stützle:
A landscape-based analysis of fixed temperature and simulated annealing. Eur. J. Oper. Res. 304(2): 395-410 (2023) - [j108]Christian Leonardo Camacho-Villalón, Marco Dorigo, Thomas Stützle:
Exposing the grey wolf, moth-flame, whale, firefly, bat, and antlion algorithms: six misleading optimization techniques inspired by bestial metaphors. Int. Trans. Oper. Res. 30(6): 2945-2971 (2023) - [c135]Yunshuang Xiao, Leslie Pérez Cáceres, Manuel López-Ibáñez, Thomas Stützle:
Algorithm Configuration via Continuously Racing: Preliminary Results. GECCO Companion 2023: 1744-1752 - [c134]Leslie Pérez Cáceres, Manuel López-Ibáñez, Thomas Stützle:
Automated Algorithm Configuration and Design. GECCO Companion 2023: 2438-2463 - [e15]Leslie Pérez Cáceres, Thomas Stützle:
Evolutionary Computation in Combinatorial Optimization - 23rd European Conference, EvoCOP 2023, Held as Part of EvoStar 2023, Brno, Czech Republic, April 12-14, 2023, Proceedings. Lecture Notes in Computer Science 13987, Springer 2023, ISBN 978-3-031-30034-9 [contents] - 2022
- [j107]Christian Leonardo Camacho-Villalón, Marco Dorigo, Thomas Stützle:
An analysis of why cuckoo search does not bring any novel ideas to optimization. Comput. Oper. Res. 142: 105747 (2022) - [j106]Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen:
Preface to the Special Cluster on Stochastic Local Search: Recent Developments and Trends. Int. Trans. Oper. Res. 29(5): 2735-2736 (2022) - [j105]Federico Pagnozzi, Thomas Stützle:
Evaluating the impact of grammar complexity in automatic algorithm design. Int. Trans. Oper. Res. 29(5): 2789-2814 (2022) - [j104]Claus Aranha, Christian Leonardo Camacho-Villalón, Felipe Campelo, Marco Dorigo, Rubén Ruiz, Marc Sevaux, Kenneth Sörensen, Thomas Stützle:
Metaphor-based metaheuristics, a call for action: the elephant in the room. Swarm Intell. 16(1): 1-6 (2022) - [j103]Christian Leonardo Camacho-Villalón, Marco Dorigo, Thomas Stützle:
PSO-X: A Component-Based Framework for the Automatic Design of Particle Swarm Optimization Algorithms. IEEE Trans. Evol. Comput. 26(3): 402-416 (2022) - [j102]Thomas Bäck, Carola Doerr, Bernhard Sendhoff, Thomas Stützle:
Guest Editorial Special Issue on Benchmarking Sampling-Based Optimization Heuristics: Methodology and Software. IEEE Trans. Evol. Comput. 26(6): 1202-1205 (2022) - [c133]Imène Ait Abderrahim, Thomas Stützle:
Automatic Configuration of Metaheuristics for Solving the Quadratic Three-Dimensional Assignment Problem Using Irace. MIC 2022: 350-364 - [c132]Thomas Stützle, Manuel López-Ibáñez, Leslie Pérez Cáceres:
Automated algorithm configuration and design. GECCO Companion 2022: 997-1019 - 2021
- [j101]Sabrina M. Oliveira, Leonardo C. T. Bezerra, Thomas Stützle, Marco Dorigo, Elizabeth F. Wanner, Sérgio Ricardo de Souza:
A computational study on ant colony optimization for the traveling salesman problem with dynamic demands. Comput. Oper. Res. 135: 105359 (2021) - [j100]Marco Dorigo, Thomas Stützle, Maria J. Blesa, Christian Blum, Heiko Hamann, Mary Katherine Heinrich:
ANTS 2020 Special Issue: Editorial. Swarm Intell. 15(4): 311-313 (2021) - [c131]Gabriela Cavalcante da Silva, Elizabeth F. Wanner, Leonardo C. T. Bezerra, Thomas Stützle:
Revisiting Pareto-Optimal Multi- and Many-Objective Reference Fronts for Continuous Optimization. CEC 2021: 1171-1178 - [c130]Thomas Stützle, Manuel López-Ibáñez:
Automated algorithm configuration and design. GECCO Companion 2021: 959-982 - [d1]Manuel López-Ibáñez, Leslie Pérez Cáceres, Jérémie Dubois-Lacoste, Thomas Stützle, Mauro Birattari, Zhi Yuan, Prasanna Balaprakash:
irace. Zenodo, 2021 - 2020
- [j99]Leonardo C. T. Bezerra, Manuel López-Ibáñez, Thomas Stützle:
Automatically Designing State-of-the-Art Multi- and Many-Objective Evolutionary Algorithms. Evol. Comput. 28(2): 195-226 (2020) - [j98]Pedro Alfaro-Fernández, Rubén Ruiz, Federico Pagnozzi, Thomas Stützle:
Automatic Algorithm Design for Hybrid Flowshop Scheduling Problems. Eur. J. Oper. Res. 282(3): 835-845 (2020) - [j97]Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen:
Special issue on "Stochastic Local Search: Recent developments and trends". Int. Trans. Oper. Res. 27(1): 697-698 (2020) - [j96]Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen:
Special issue on "Stochastic Local Search: Recent developments and trends". Int. Trans. Oper. Res. 27(2): 1263-1264 (2020) - [j95]Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen:
Special issue on "Stochastic Local Search: Recent developments and trends". Int. Trans. Oper. Res. 27(3): 1806-1807 (2020) - [j94]Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen:
Special issue on "Stochastic Local Search: Recent developments and trends". Int. Trans. Oper. Res. 27(4): 2253-2254 (2020) - [j93]Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen:
Special issue on "Stochastic Local Search: Recent developments and trends". Int. Trans. Oper. Res. 27(5): 2685-2686 (2020) - [j92]Jonas Kuckling, Thomas Stützle, Mauro Birattari:
Iterative improvement in the automatic modular design of robot swarms. PeerJ Comput. Sci. 6: e322 (2020) - [c129]Christian Leonardo Camacho-Villalón, Thomas Stützle, Marco Dorigo:
Grey Wolf, Firefly and Bat Algorithms: Three Widespread Algorithms that Do Not Contain Any Novelty. ANTS Conference 2020: 121-133 - [c128]Manuel López-Ibáñez, Thomas Stützle:
Automated algorithm configuration and design. GECCO Companion 2020: 1075-1100 - [c127]Alberto Franzin, Thomas Stützle:
A Causal Framework for Understanding Optimisation Algorithms. TAILOR 2020: 140-145 - [p17]Leonardo C. T. Bezerra, Manuel López-Ibáñez, Thomas Stützle:
Automatic Configuration of Multi-objective Optimizers and Multi-objective Configuration. High-Performance Simulation-Based Optimization 2020: 69-92 - [e14]Marco Dorigo, Thomas Stützle, Maria J. Blesa, Christian Blum, Heiko Hamann, Mary Katherine Heinrich, Volker Strobel:
Swarm Intelligence - 12th International Conference, ANTS 2020, Barcelona, Spain, October 26-28, 2020, Proceedings. Lecture Notes in Computer Science 12421, Springer 2020, ISBN 978-3-030-60375-5 [contents]
2010 – 2019
- 2019
- [j91]Alberto Franzin, Thomas Stützle:
Revisiting simulated annealing: A component-based analysis. Comput. Oper. Res. 104: 191-206 (2019) - [j90]Federico Pagnozzi, Thomas Stützle:
Automatic design of hybrid stochastic local search algorithms for permutation flowshop problems. Eur. J. Oper. Res. 276(2): 409-421 (2019) - [j89]Mauro Birattari, Antoine Ligot, Darko Bozhinoski, Manuele Brambilla, Gianpiero Francesca, Lorenzo Garattoni, David Garzón-Ramos, Ken Hasselmann, Miquel Kegeleirs, Jonas Kuckling, Federico Pagnozzi, Andrea Roli, Muhammad Salman, Thomas Stützle:
Automatic Off-Line Design of Robot Swarms: A Manifesto. Frontiers Robotics AI 6: 59 (2019) - [j88]Holger H. Hoos, Laetitia Jourdan, Marie-Eléonore Kessaci, Thomas Stützle, Nadarajen Veerapen:
Special issue on "Stochastic Local Search: Recent developments and trends". Int. Trans. Oper. Res. 26(6): 2580-2581 (2019) - [j87]Christian Leonardo Camacho-Villalón, Marco Dorigo, Thomas Stützle:
The intelligent water drops algorithm: why it cannot be considered a novel algorithm - A brief discussion on the use of metaphors in optimization. Swarm Intell. 13(3-4): 173-192 (2019) - [c126]Sabrina M. Oliveira, Elizabeth F. Wanner, Sérgio Ricardo de Souza, Leonardo C. T. Bezerra, Thomas Stützle:
The Hypervolume Indicator as a Performance Measure in Dynamic Optimization. EMO 2019: 319-331 - [c125]Leonardo C. T. Bezerra, Manuel López-Ibáñez, Thomas Stützle:
Archiver effects on the performance of state-of-the-art multi- and many-objective evolutionary algorithms. GECCO 2019: 620-628 - [e13]Anne Auger, Thomas Stützle:
Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2019, Prague, Czech Republic, July 13-17, 2019. ACM 2019, ISBN 978-1-4503-6111-8 [contents] - [e12]Manuel López-Ibáñez, Anne Auger, Thomas Stützle:
Proceedings of the Genetic and Evolutionary Computation Conference Companion, GECCO 2019, Prague, Czech Republic, July 13-17, 2019. ACM 2019, ISBN 978-1-4503-6748-6 [contents] - 2018
- [j86]Leonardo C. T. Bezerra, Manuel López-Ibáñez, Thomas Stützle:
A Large-Scale Experimental Evaluation of High-Performing Multi- and Many-Objective Evolutionary Algorithms. Evol. Comput. 26(4) (2018) - [j85]Zongxu Mu, Jérémie Dubois-Lacoste, Holger H. Hoos, Thomas Stützle:
On the empirical scaling of running time for finding optimal solutions to the TSP. J. Heuristics 24(6): 879-898 (2018) - [j84]Alberto Franzin, Leslie Pérez Cáceres, Thomas Stützle:
Effect of transformations of numerical parameters in automatic algorithm configuration. Optim. Lett. 12(8): 1741-1753 (2018) - [c124]Christian Leonardo Camacho-Villalón, Marco Dorigo, Thomas Stützle:
Why the Intelligent Water Drops Cannot Be Considered as a Novel Algorithm. ANTS Conference 2018: 302-314 - [c123]Christian Cintrano, Francisco Chicano, Thomas Stützle, Enrique Alba:
Studying Solutions of the p-Median Problem for the Location of Public Bike Stations. CAEPIA 2018: 198-208 - [c122]Manuel López-Ibáñez, Thomas Stützle:
Automated offline design of algorithms. GECCO (Companion) 2018: 1093-1120 - [c121]Daniel Karapetyan, Andrew J. Parkes, Thomas Stützle:
Algorithm Configuration: Learning Policies for the Quick Termination of Poor Performers. LION 2018: 220-224 - [p16]Marco Chiarandini, Irina Dumitrescu, Thomas Stützle:
Stochastic Local Search Algorithms for the Graph Colouring Problem. Handbook of Approximation Algorithms and Metaheuristics (2) 2018 - [p15]Holger H. Hoos, Thomas Stützle:
Empirical Analysis of Randomised Algorithms. Handbook of Approximation Algorithms and Metaheuristics (1) 2018: 225-242 - [p14]Holger H. Hoos, Thomas Stützle:
Stochastic Local Search. Handbook of Approximation Algorithms and Metaheuristics (1) 2018: 297-307 - [p13]Luís Paquete, Thomas Stützle:
Stochastic Local Search Algorithms for Multiobjective Combinatorial Optimization: A Review. Handbook of Approximation Algorithms and Metaheuristics (1) 2018: 411-425 - [r9]Manuel López-Ibáñez, Thomas Stützle, Marco Dorigo:
Ant Colony Optimization: A Component-Wise Overview. Handbook of Heuristics 2018: 371-407 - [r8]Thomas Stützle, Rubén Ruiz:
Iterated Greedy. Handbook of Heuristics 2018: 547-577 - [r7]Thomas Stützle, Rubén Ruiz:
Iterated Local Search. Handbook of Heuristics 2018: 579-605 - [i3]Daniel Karapetyan, Andrew J. Parkes, Thomas Stützle:
Algorithm Configuration: Learning policies for the quick termination of poor performers. CoRR abs/1803.09785 (2018) - 2017
- [j83]Jérémie Dubois-Lacoste, Federico Pagnozzi, Thomas Stützle:
An iterated greedy algorithm with optimization of partial solutions for the makespan permutation flowshop problem. Comput. Oper. Res. 81: 160-166 (2017) - [j82]Leslie Pérez Cáceres, Thomas Stützle:
Exploring variable neighborhood search for automatic algorithm configuration. Electron. Notes Discret. Math. 58: 167-174 (2017) - [j81]Stefanie Kritzinger, Fabien Tricoire, Karl F. Doerner, Richard F. Hartl, Thomas Stützle:
A unified framework for routing problems with a fixed fleet size. Int. J. Metaheuristics 6(3): 160-209 (2017) - [j80]Thomas Stützle, Vittorio Maniezzo:
Special issue on "Matheuristics". Int. Trans. Oper. Res. 24(1-2): 389-390 (2017) - [j79]Christian Blum, Angel A. Juan, Helena Ramalhinho Dias Lourenço, Thomas Stützle:
Special issue on "Metaheuristics". Int. Trans. Oper. Res. 24(3): 681-682 (2017) - [j78]Christian Blum, Angel A. Juan, Helena R. Lourenço, Thomas Stützle:
Special issue on "Metaheuristics". Int. Trans. Oper. Res. 24(4): 925-926 (2017) - [j77]Christian Blum, Angel A. Juan, Helena R. Lourenço, Thomas Stützle:
Special issue on "Metaheuristics". Int. Trans. Oper. Res. 24(6): 1587-1588 (2017) - [j76]Federico Pagnozzi, Thomas Stützle:
Speeding up local search for the insert neighborhood in the weighted tardiness permutation flowshop problem. Optim. Lett. 11(7): 1283-1292 (2017) - [j75]Dogan Aydin, Gürcan Yavuz, Thomas Stützle:
ABC-X: a generalized, automatically configurable artificial bee colony framework. Swarm Intell. 11(1): 1-38 (2017) - [j74]Marco Dorigo, Mauro Birattari, Xiaodong Li, Manuel López-Ibáñez, Kazuhiro Ohkura, Carlo Pinciroli, Thomas Stützle:
ANTS 2016 special issue: Editorial. Swarm Intell. 11(3-4): 181-183 (2017) - [c120]Alberto Franzin, Thomas Stützle:
Comparison of Acceptance Criteria in Randomized Local Searches. Artificial Evolution 2017: 16-29 - [c119]Leslie Pérez Cáceres, Federico Pagnozzi, Alberto Franzin, Thomas Stützle:
Automatic Configuration of GCC Using Irace. Artificial Evolution 2017: 202-216 - [c118]Jérémie Dubois-Lacoste, Thomas Stützle:
Tuning of a stigmergy-based traffic light controller as a dynamic optimization problem. CEC 2017: 1-8 - [c117]Sabrina M. Oliveira, Mohamed Saifullah Hussin, Andrea Roli, Marco Dorigo, Thomas Stützle:
Analysis of the population-based ant colony optimization algorithm for the TSP and the QAP. CEC 2017: 1734-1741 - [c116]Yuefeng Lin, Wenli Du, Thomas Stützle:
Three L-SHADE based algorithms on mixed-variables optimization problems. CEC 2017: 2274-2281 - [c115]Leonardo C. T. Bezerra, Manuel López-Ibáñez, Thomas Stützle:
An Empirical Assessment of the Properties of Inverted Generational Distance on Multi- and Many-Objective Optimization. EMO 2017: 31-45 - [c114]Hayfa Hammami, Thomas Stützle:
A Computational Study of Neighborhood Operators for Job-Shop Scheduling Problems with Regular Objectives. EvoCOP 2017: 1-17 - [c113]Nguyen Dang, Leslie Pérez Cáceres, Patrick De Causmaecker, Thomas Stützle:
Configuring irace using surrogate configuration benchmarks. GECCO 2017: 243-250 - [c112]Manuel López-Ibáñez, Thomas Stützle:
Automated offline design of algorithms. GECCO (Companion) 2017: 1038-1065 - [c111]Leslie Pérez Cáceres, Bernd Bischl, Thomas Stützle:
Evaluating random forest models for irace. GECCO (Companion) 2017: 1146-1153 - [c110]Dogan Aydin, Gürcan Yavuz, Serdar Özyön, Celal Yasar, Thomas Stützle:
Artificial bee colony framework to non-convex economic dispatch problem with valve point effects: a case study. GECCO (Companion) 2017: 1311-1318 - [c109]George Davidescu, Thomas Stützle, Valeriy Vyatkin:
Network planning in smart grids via a local search heuristic for spanning forest problems. ISIE 2017: 1212-1218 - [c108]Leslie Pérez Cáceres, Manuel López-Ibáñez, Holger H. Hoos, Thomas Stützle:
An Experimental Study of Adaptive Capping in irace. LION 2017: 235-250 - [c107]Mohamed Saifullah Hussin, Thomas Stützle:
Hybrid Simulated Annealing for the Bi-objective Quadratic Assignment Problem. MIWAI 2017: 462-472 - [r6]Marco Dorigo, Mauro Birattari, Thomas Stützle:
Metaheuristic. Encyclopedia of Machine Learning and Data Mining 2017: 817-818 - 2016
- [j73]Mauro Dell'Amico, Manuel Iori, Stefano Novellani, Thomas Stützle:
A destroy and repair algorithm for the Bike sharing Rebalancing Problem. Comput. Oper. Res. 71: 149-162 (2016) - [j72]Thomas Stützle, Vittorio Maniezzo:
Special issue on "Matheuristics". Int. Trans. Oper. Res. 23(6): 1231-1232 (2016) - [j71]Leonardo C. T. Bezerra, Manuel López-Ibáñez, Thomas Stützle:
Automatic Component-Wise Design of Multiobjective Evolutionary Algorithms. IEEE Trans. Evol. Comput. 20(3): 403-417 (2016) - [c106]Gürcan Yavuz, Dogan Aydin, Thomas Stützle:
Self-adaptive search equation-based artificial bee colony algorithm on the CEC 2014 benchmark functions. CEC 2016: 1173-1180 - [c105]Jérémie Dubois-Lacoste, Thomas Stützle:
Configuring a Stigmergy-based Traffic Light Controller. GECCO (Companion) 2016: 137-138 - [c104]Thomas Stützle, Manuel López-Ibáñez:
Automatic (Offline) Configuration of Algorithms. GECCO (Companion) 2016: 795-818 - [c103]Silvino Fernandez, Thomas Stützle, Pablo Valledor Pellicer:
IAM 2016 Chairs' Welcome & Organization. GECCO (Companion) 2016: 911-912 - [c102]Alberto Franzin, Thomas Stützle:
Exploration of Metaheuristics through Automatic Algorithm Configuration Techniques and Algorithmic Frameworks. GECCO (Companion) 2016: 1341-1347 - [c101]Thomas Stützle:
Automatic Algorithm Configuration: Methods, Applications, and Perspectives. IJCCI (ECTA) 2016: 7 - [c100]Zongxu Mu, Holger H. Hoos, Thomas Stützle:
The Impact of Automated Algorithm Configuration on the Scaling Behaviour of State-of-the-Art Inexact TSP Solvers. LION 2016: 157-172 - [e11]Marco Dorigo, Mauro Birattari, Xiaodong Li, Manuel López-Ibáñez, Kazuhiro Ohkura, Carlo Pinciroli, Thomas Stützle:
Swarm Intelligence - 10th International Conference, ANTS 2016, Brussels, Belgium, September 7-9, 2016, Proceedings. Lecture Notes in Computer Science 9882, Springer 2016, ISBN 978-3-319-44426-0 [contents] - 2015
- [j70]Tianjun Liao, Daniel Molina, Thomas Stützle:
Performance evaluation of automatically tuned continuous optimizers on different benchmark sets. Appl. Soft Comput. 27: 490-503 (2015) - [j69]Prasanna Balaprakash, Mauro Birattari, Thomas Stützle, Marco Dorigo:
Estimation-based metaheuristics for the single vehicle routing problem with stochastic demands and customers. Comput. Optim. Appl. 61(2): 463-487 (2015) - [j68]Jérémie Dubois-Lacoste, Manuel López-Ibáñez, Thomas Stützle:
Anytime Pareto local search. Eur. J. Oper. Res. 243(2): 369-385 (2015) - [j67]Holger H. Hoos, Thomas Stützle:
On the empirical time complexity of finding optimal solutions vs proving optimality for Euclidean TSP instances. Optim. Lett. 9(6): 1247-1254 (2015) - [j66]Marco Dorigo, Mauro Birattari, Simon Garnier, Heiko Hamann, Marco Antonio Montes de Oca, Christine Solnon, Thomas Stützle:
ANTS 2014 special issue: Editorial. Swarm Intell. 9(2-3): 71-73 (2015) - [j65]Leslie Pérez Cáceres, Manuel López-Ibáñez, Thomas Stützle:
Ant colony optimization on a limited budget of evaluations. Swarm Intell. 9(2-3): 103-124 (2015) - [c99]Dogan Aydin, Thomas Stützle:
A configurable generalized artificial bee colony algorithm with local search strategies. CEC 2015: 1067-1074 - [c98]Leonardo C. T. Bezerra, Manuel López-Ibáñez, Thomas Stützle:
To DE or Not to DE? Multi-objective Differential Evolution Revisited from a Component-Wise Perspective. EMO (1) 2015: 48-63 - [c97]Leonardo C. T. Bezerra, Manuel López-Ibáñez, Thomas Stützle:
Comparing Decomposition-Based and Automatically Component-Wise Designed Multi-Objective Evolutionary Algorithms. EMO (1) 2015: 396-410 - [c96]Jérémie Dubois-Lacoste, Holger H. Hoos, Thomas Stützle:
On the Empirical Scaling Behaviour of State-of-the-art Local Search Algorithms for the Euclidean TSP. GECCO 2015: 377-384 - [c95]Thomas Stützle, Manuel López-Ibáñez:
Automatic (Offline) Configuration of Algorithms. GECCO (Companion) 2015: 681-702 - [p12]Holger H. Hoos, Thomas Stützle:
Stochastic Local Search Algorithms: An Overview. Handbook of Computational Intelligence 2015: 1085-1105 - 2014
- [j64]Cristina Teixeira, José A. Covas, Thomas Stützle, António Gaspar-Cunha:
Hybrid algorithms for the twin-screw extrusion configuration problem. Appl. Soft Comput. 23: 298-307 (2014) - [j63]Mohamed Saifullah Hussin, Thomas Stützle:
Tabu search vs. simulated annealing as a function of the size of quadratic assignment problem instances. Comput. Oper. Res. 43: 286-291 (2014) - [j62]Franco Mascia, Manuel López-Ibáñez, Jérémie Dubois-Lacoste, Thomas Stützle:
Grammar-based generation of stochastic local search heuristics through automatic algorithm configuration tools. Comput. Oper. Res. 51: 190-199 (2014) - [j61]Tianjun Liao, Daniel Molina, Marco Antonio Montes de Oca, Thomas Stützle:
A Note on Bound Constraints Handling for the IEEE CEC'05 Benchmark Function Suite. Evol. Comput. 22(2): 351-359 (2014) - [j60]Tianjun Liao, Thomas Stützle, Marco Antonio Montes de Oca, Marco Dorigo:
A unified ant colony optimization algorithm for continuous optimization. Eur. J. Oper. Res. 234(3): 597-609 (2014) - [j59]Manuel López-Ibáñez, Thomas Stützle:
Automatically improving the anytime behaviour of optimisation algorithms. Eur. J. Oper. Res. 235(3): 569-582 (2014) - [j58]Holger H. Hoos, Thomas Stützle:
On the empirical scaling of run-time for finding optimal solutions to the travelling salesman problem. Eur. J. Oper. Res. 238(1): 87-94 (2014) - [j57]Franco Mascia, Paola Pellegrini, Mauro Birattari, Thomas Stützle:
An analysis of parameter adaptation in reactive tabu search. Int. Trans. Oper. Res. 21(1): 127-152 (2014) - [j56]Paola Pellegrini, Franco Mascia, Thomas Stützle, Mauro Birattari:
On the sensitivity of reactive tabu search to its meta-parameters. Soft Comput. 18(11): 2177-2190 (2014) - [j55]Tianjun Liao, Krzysztof Socha, Marco Antonio Montes de Oca, Thomas Stützle, Marco Dorigo:
Ant Colony Optimization for Mixed-Variable Optimization Problems. IEEE Trans. Evol. Comput. 18(4): 503-518 (2014) - [c94]Leslie Pérez Cáceres, Manuel López-Ibáñez, Thomas Stützle:
Ant Colony Optimization on a Budget of 1000. ANTS Conference 2014: 50-61 - [c93]Leslie Pérez Cáceres, Manuel López-Ibáñez, Thomas Stützle:
An Analysis of Parameters of irace. EvoCOP 2014: 37-48 - [c92]Manuel López-Ibáñez, Thomas Stützle:
Automatic (offline) configuration of algorithms. GECCO (Companion) 2014: 921-946 - [c91]Manuel López-Ibáñez, Franco Mascia, Marie-Eléonore Marmion, Thomas Stützle:
A template for designing single-solution hybrid metaheuristics. GECCO (Companion) 2014: 1423-1426 - [c90]Franco Mascia, Manuel López-Ibáñez, Jérémie Dubois-Lacoste, Marie-Eléonore Marmion, Thomas Stützle:
Algorithm Comparison by Automatically Configurable Stochastic Local Search Frameworks: A Case Study Using Flow-Shop Scheduling Problems. Hybrid Metaheuristics 2014: 30-44 - [c89]Thomas Stützle:
Automated Algorithm Configuration: Advances and Prospects. IDC 2014: 5 - [c88]Frank Hutter, Manuel López-Ibáñez, Chris Fawcett, Marius Lindauer, Holger H. Hoos, Kevin Leyton-Brown, Thomas Stützle:
AClib: A Benchmark Library for Algorithm Configuration. LION 2014: 36-40 - [c87]Leonardo C. T. Bezerra, Manuel López-Ibáñez, Thomas Stützle:
Deconstructing Multi-objective Evolutionary Algorithms: An Iterative Analysis on the Permutation Flow-Shop Problem. LION 2014: 157-172 - [c86]Leonardo C. T. Bezerra, Manuel López-Ibáñez, Thomas Stützle:
Automatic Design of Evolutionary Algorithms for Multi-Objective Combinatorial Optimization. PPSN 2014: 508-517 - [e10]Marco Dorigo, Mauro Birattari, Simon Garnier, Heiko Hamann, Marco Antonio Montes de Oca, Christine Solnon, Thomas Stützle:
Swarm Intelligence - 9th International Conference, ANTS 2014, Brussels, Belgium, September 10-12, 2014. Proceedings. Lecture Notes in Computer Science 8667, Springer 2014, ISBN 978-3-319-09951-4 [contents] - [i2]Frank Hutter, Thomas Stützle, Kevin Leyton-Brown, Holger H. Hoos:
ParamILS: An Automatic Algorithm Configuration Framework. CoRR abs/1401.3492 (2014) - 2013
- [j54]Sara Ceschia, Andrea Schaerf, Thomas Stützle:
Local search techniques for a routing-packing problem. Comput. Ind. Eng. 66(4): 1138-1149 (2013) - [j53]Marco Dorigo, Dario Floreano, Luca Maria Gambardella, Francesco Mondada, Stefano Nolfi, Tarek Baaboura, Mauro Birattari, Michael Bonani, Manuele Brambilla, Arne Brutschy, Daniel Burnier, Alexandre Campo, Anders Lyhne Christensen, Antal Decugniere, Gianni Di Caro, Frederick Ducatelle, Eliseo Ferrante, Alexander Förster, Javier Martinez Gonzales, Jerome Guzzi, Valentin Longchamp, Stéphane Magnenat, Nithin Mathews, Marco Antonio Montes de Oca, Rehan O'Grady, Carlo Pinciroli, Giovanni Pini, Philippe Rétornaz, James F. Roberts, Valerio Sperati, Timothy S. Stirling, Alessandro Stranieri, Thomas Stützle, Vito Trianni, Elio Tuci, Ali Emre Turgut, Florian Vaussard:
Swarmanoid: A Novel Concept for the Study of Heterogeneous Robotic Swarms. IEEE Robotics Autom. Mag. 20(4): 60-71 (2013) - [j52]Tianjun Liao, Marco Antonio Montes de Oca, Thomas Stützle:
Computational results for an automatically tuned CMA-ES with increasing population size on the CEC'05 benchmark set. Soft Comput. 17(6): 1031-1046 (2013) - [j51]Marco Dorigo, Mauro Birattari, Christian Blum, Anders Lyhne Christensen, Andries P. Engelbrecht, Roderich Groß, Thomas Stützle:
ANTS 2012 special issue - Editorial. Swarm Intell. 7(2-3): 79-81 (2013) - [j50]Tianjun Liao, Dogan Aydin, Thomas Stützle:
Artificial bee colonies for continuous optimization: Experimental analysis and improvements. Swarm Intell. 7(4): 327-356 (2013) - [c85]Andrea Valsecchi, Jérémie Dubois-Lacoste, Thomas Stützle, Sergio Damas, José Santamaría, Linda Marrakchi-Kacem:
Evolutionary medical image registration using automatic parameter tuning. IEEE Congress on Evolutionary Computation 2013: 1326-1333 - [c84]Tianjun Liao, Thomas Stützle:
Benchmark results for a simple hybrid algorithm on the CEC 2013 benchmark set for real-parameter optimization. IEEE Congress on Evolutionary Computation 2013: 1938-1944 - [c83]Andreea Radulescu, Manuel López-Ibáñez, Thomas Stützle:
Automatically Improving the Anytime Behaviour of Multiobjective Evolutionary Algorithms. EMO 2013: 825-840 - [c82]Leonardo C. T. Bezerra, Manuel López-Ibáñez, Thomas Stützle:
An Analysis of Local Search for the Bi-objective Bidimensional Knapsack Problem. EvoCOP 2013: 85-96 - [c81]Thomas Stützle, Manuel López-Ibáñez:
Automatic (offline) configuration of algorithms. GECCO (Companion) 2013: 893-918 - [c80]Tianjun Liao, Thomas Stützle:
Bounding the population size of IPOP-CMA-ES on the noiseless BBOB testbed. GECCO (Companion) 2013: 1161-1168 - [c79]Tianjun Liao, Thomas Stützle:
Testing the impact of parameter tuning on a variant of IPOP-CMA-ES with a bounded maximum population size on the noiseless BBOB testbed. GECCO (Companion) 2013: 1169-1176 - [c78]Tianjun Liao, Thomas Stützle:
Expensive optimization scenario: IPOP-CMA-ES with a population bound mechanism for noiseless function testbed. GECCO (Companion) 2013: 1185-1192 - [c77]Zhi Yuan, Thomas Stützle, Marco Antonio Montes de Oca, Hoong Chuin Lau, Mauro Birattari:
An analysis of post-selection in automatic configuration. GECCO 2013: 1557-1564 - [c76]Florence Massen, Manuel López-Ibáñez, Thomas Stützle, Yves Deville:
Experimental Analysis of Pheromone-Based Heuristic Column Generation Using irace. Hybrid Metaheuristics 2013: 92-106 - [c75]Marie-Eléonore Marmion, Franco Mascia, Manuel López-Ibáñez, Thomas Stützle:
Automatic Design of Hybrid Stochastic Local Search Algorithms. Hybrid Metaheuristics 2013: 144-158 - [c74]Franco Mascia, Manuel López-Ibáñez, Jérémie Dubois-Lacoste, Thomas Stützle:
From Grammars to Parameters: Automatic Iterated Greedy Design for the Permutation Flow-Shop Problem with Weighted Tardiness. LION 2013: 321-334 - [c73]Franco Mascia, Mauro Birattari, Thomas Stützle:
Tuning Algorithms for Tackling Large Instances: An Experimental Protocol. LION 2013: 410-422 - [p11]Jérémie Dubois-Lacoste, Manuel López-Ibáñez, Thomas Stützle:
Combining Two Search Paradigms for Multi-objective Optimization: Two-Phase and Pareto Local Search. Hybrid Metaheuristics 2013: 97-117 - [i1]Holger H. Hoos, Thomas Stützle:
Evaluating Las Vegas Algorithms - Pitfalls and Remedies. CoRR abs/1301.7383 (2013) - 2012
- [j49]Andrea Roli, Stefano Benedettini, Thomas Stützle, Christian Blum:
Large neighbourhood search algorithms for the founder sequence reconstruction problem. Comput. Oper. Res. 39(2): 213-224 (2012) - [j48]Paola Pellegrini, Thomas Stützle, Mauro Birattari:
A critical analysis of parameter adaptation in ant colony optimization. Swarm Intell. 6(1): 23-48 (2012) - [j47]Zhi Yuan, Marco Antonio Montes de Oca, Mauro Birattari, Thomas Stützle:
Continuous optimization algorithms for tuning real and integer parameters of swarm intelligence algorithms. Swarm Intell. 6(1): 49-75 (2012) - [j46]Manuel López-Ibáñez, Thomas Stützle:
An experimental analysis of design choices of multi-objective ant colony optimization algorithms. Swarm Intell. 6(3): 207-232 (2012) - [j45]Francesco Sambo, Marco Antonio Montes de Oca, Barbara Di Camillo, Gianna Toffolo, Thomas Stützle:
MORE: Mixed Optimization for Reverse Engineering - An Application to Modeling Biological Networks Response via Sparse Systems of Nonlinear Differential Equations. IEEE ACM Trans. Comput. Biol. Bioinform. 9(5): 1459-1471 (2012) - [j44]Manuel López-Ibáñez, Thomas Stützle:
The Automatic Design of Multiobjective Ant Colony Optimization Algorithms. IEEE Trans. Evol. Comput. 16(6): 861-875 (2012) - [c72]Leonardo C. T. Bezerra, Manuel López-Ibáñez, Thomas Stützle:
Automatic Generation of Multi-objective ACO Algorithms for the Bi-objective Knapsack. ANTS 2012: 37-48 - [c71]Jérémie Dubois-Lacoste, Manuel López-Ibáñez, Thomas Stützle:
Pareto Local Search Algorithms for Anytime Bi-objective Optimization. EvoCOP 2012: 206-217 - [c70]Tianjun Liao, Daniel Molina, Thomas Stützle, Marco Antonio Montes de Oca, Marco Dorigo:
An ACO algorithm benchmarked on the BBOB noiseless function testbed. GECCO (Companion) 2012: 159-166 - [c69]Franco Mascia, Thomas Stützle:
A Non-adaptive Stochastic Local Search Algorithm for the CHeSC 2011 Competition. LION 2012: 101-114 - [c68]Manuel López-Ibáñez, Tianjun Liao, Thomas Stützle:
On the Anytime Behavior of IPOP-CMA-ES. PPSN (1) 2012: 357-366 - [p10]Thomas Stützle, Manuel López-Ibáñez, Paola Pellegrini, Michael Maur, Marco Antonio Montes de Oca, Mauro Birattari, Marco Dorigo:
Parameter Adaptation in Ant Colony Optimization. Autonomous Search 2012: 191-215 - [e9]Marco Dorigo, Mauro Birattari, Christian Blum, Anders Lyhne Christensen, Andries P. Engelbrecht, Roderich Groß, Thomas Stützle:
Swarm Intelligence - 8th International Conference, ANTS 2012, Brussels, Belgium, September 12-14, 2012. Proceedings. Lecture Notes in Computer Science 7461, Springer 2012, ISBN 978-3-642-32649-3 [contents] - 2011
- [j43]Jérémie Dubois-Lacoste, Manuel López-Ibáñez, Thomas Stützle:
Improving the anytime behavior of two-phase local search. Ann. Math. Artif. Intell. 61(2): 125-154 (2011) - [j42]Jérémie Dubois-Lacoste, Manuel López-Ibáñez, Thomas Stützle:
A hybrid TP+PLS algorithm for bi-objective flow-shop scheduling problems. Comput. Oper. Res. 38(8): 1219-1236 (2011) - [j41]Cristina Teixeira, José A. Covas, Thomas Stützle, António Gaspar-Cunha:
Engineering an efficient two-phase local search algorithm for the co-rotating twin-screw extruder configuration problem. Int. Trans. Oper. Res. 18(2): 271-291 (2011) - [j40]Oliver Korb, Thomas Stützle, Thomas E. Exner:
Accelerating Molecular Docking Calculations Using Graphics Processing Units. J. Chem. Inf. Model. 51(4): 865-876 (2011) - [j39]Marco Antonio Montes de Oca, Dogan Aydin, Thomas Stützle:
An incremental particle swarm for large-scale continuous optimization problems: an example of tuning-in-the-loop (re)design of optimization algorithms. Soft Comput. 15(11): 2233-2255 (2011) - [j38]Marco Dorigo, Mauro Birattari, Gianni Di Caro, René Doursat, Andries P. Engelbrecht, Luca Maria Gambardella, Roderich Groß, Erol Sahin, Thomas Stützle:
ANTS 2010 special issue - Editorial. Swarm Intell. 5(3-4): 143-147 (2011) - [j37]Marco Antonio Montes de Oca, Thomas Stützle, Ken Van den Enden, Marco Dorigo:
Incremental Social Learning in Particle Swarms. IEEE Trans. Syst. Man Cybern. Part B 41(2): 368-384 (2011) - [c67]Dogan Aydin, Tianjun Liao, Marco Antonio Montes de Oca, Thomas Stützle:
Improving Performance via Population Growth and Local Search: The Case of the Artificial Bee Colony Algorithm. Artificial Evolution 2011: 85-96 - [c66]Stefan Eppe, Yves De Smet, Thomas Stützle:
A Bi-objective Optimization Model to Eliciting Decision Maker's Preferences for the PROMETHEE II Method. ADT 2011: 56-66 - [c65]Stefan Eppe, Manuel López-Ibáñez, Thomas Stützle, Yves De Smet:
An experimental study of preference model integration into multi-objective optimization heuristics. IEEE Congress on Evolutionary Computation 2011: 2751-2758 - [c64]Gianpiero Francesca, Paola Pellegrini, Thomas Stützle, Mauro Birattari:
Off-line and On-line Tuning: A Study on Operator Selection for a Memetic Algorithm Applied to the QAP. EvoCOP 2011: 203-214 - [c63]Sabrina M. Oliveira, Mohamed Saifullah Hussin, Thomas Stützle, Andrea Roli, Marco Dorigo:
A detailed analysis of the population-based ant colony optimization algorithm for the TSP and the QAP. GECCO (Companion) 2011: 13-14 - [c62]Tianjun Liao, Marco Antonio Montes de Oca, Dogan Aydin, Thomas Stützle, Marco Dorigo:
An incremental ant colony algorithm with local search for continuous optimization. GECCO 2011: 125-132 - [c61]Tianjun Liao, Marco Antonio Montes de Oca, Thomas Stützle:
Tuning parameters across mixed dimensional instances: a performance scalability study of Sep-G-CMA-ES. GECCO (Companion) 2011: 703-706 - [c60]Jérémie Dubois-Lacoste, Manuel López-Ibáñez, Thomas Stützle:
Automatic configuration of state-of-the-art multi-objective optimizers using the TP+PLS framework. GECCO 2011: 2019-2026 - [c59]Mohamed Saifullah Hussin, Thomas Stützle:
High performing stochastic local search algorithms for the QAP and their performance in dependence to the instance structure and size. HIS 2011: 139-144 - 2010
- [j36]Roberto Battiti, Bart Selman, Thomas Stützle:
Special issue on learning and intelligent optimization. Ann. Math. Artif. Intell. 60(1-2): 1-2 (2010) - [j35]Prasanna Balaprakash, Mauro Birattari, Thomas Stützle, Marco Dorigo:
Estimation-based metaheuristics for the probabilistic traveling salesman problem. Comput. Oper. Res. 37(11): 1939-1951 (2010) - [j34]Thijs Urlings, Rubén Ruiz, Thomas Stützle:
Shifting representation search for hybrid flexible flowline problems. Eur. J. Oper. Res. 207(2): 1086-1095 (2010) - [j33]Colin Twomey, Thomas Stützle, Marco Dorigo, Max Manfrin, Mauro Birattari:
An analysis of communication policies for homogeneous multi-colony ACO algorithms. Inf. Sci. 180(12): 2390-2404 (2010) - [j32]Gerhard Hessler, Oliver Korb, Peter Monecke, Thomas Stützle, Thomas E. Exner:
pharmACOphore: multiple flexible ligand alignment based on ant colony optimization. J. Cheminformatics 2(S-1): 17 (2010) - [j31]Oliver Korb, Peter Monecke, Gerhard Hessler, Thomas Stützle, Thomas E. Exner:
pharmACOphore: Multiple Flexible Ligand Alignment Based on Ant Colony Optimization. J. Chem. Inf. Model. 50(9): 1669-1681 (2010) - [c58]Manuel López-Ibáñez, Thomas Stützle:
Automatic Configuration of Multi-Objective ACO Algorithms. ANTS Conference 2010: 95-106 - [c57]Zhi Yuan, Marco Antonio Montes de Oca, Mauro Birattari, Thomas Stützle:
Modern Continuous Optimization Algorithms for Tuning Real and Integer Algorithm Parameters. ANTS Conference 2010: 203-214 - [c56]Paola Pellegrini, Thomas Stützle, Mauro Birattari:
Off-line vs. On-line Tuning: A Study on MAX-MIN\mathcal{MAX--MIN} Ant System for the TSP. ANTS Conference 2010: 239-250 - [c55]Michael Maur, Manuel López-Ibáñez, Thomas Stützle:
Pre-scheduled and adaptive parameter variation in MAX-MIN Ant System. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c54]Manuel López-Ibáñez, Thomas Stützle:
The impact of design choices of multiobjective antcolony optimization algorithms on performance: an experimental study on the biobjective TSP. GECCO 2010: 71-78 - [c53]Manuel López-Ibáñez, Thomas Stützle, Luís Paquete:
Graphical tools for the analysis of bi-objective optimization algorithms: [workshop on theoretical aspects of evolutionary multiobjective optimization]. GECCO (Companion) 2010: 1959-1962 - [c52]Zhi Yuan, Thomas Stützle, Mauro Birattari:
MADS/F-Race: Mesh Adaptive Direct Search Meets F-Race. IEA/AIE (1) 2010: 41-50 - [c51]Jérémie Dubois-Lacoste, Manuel López-Ibáñez, Thomas Stützle:
Adaptive "Anytime" Two-Phase Local Search. LION 2010: 52-67 - [c50]Marco Antonio Montes de Oca, Thomas Stützle, Mauro Birattari, Marco Dorigo:
Incremental Social Learning Applied to a Decentralized Decision-Making Mechanism: Collective Learning Made Faster. SASO 2010: 243-252 - [c49]Marco Chiarandini, Thomas Stützle:
An Analysis of Heuristics for Vertex Colouring. SEA 2010: 326-337 - [p9]Manuel López-Ibáñez, Luís Paquete, Thomas Stützle:
Exploratory Analysis of Stochastic Local Search Algorithms in Biobjective Optimization. Experimental Methods for the Analysis of Optimization Algorithms 2010: 209-222 - [p8]Mauro Birattari, Zhi Yuan, Prasanna Balaprakash, Thomas Stützle:
F-Race and Iterated F-Race: An Overview. Experimental Methods for the Analysis of Optimization Algorithms 2010: 311-336 - [p7]Irina Dumitrescu, Thomas Stützle:
Usage of Exact Algorithms to Enhance Stochastic Local Search Algorithms. Matheuristics 2010: 103-134 - [p6]Luís Paquete, Thomas Stützle:
On the Performance of Local Search for the Biobjective Traveling Salesman Problem. Advances in Multi-Objective Nature Inspired Computing 2010: 143-165 - [e8]Marco Dorigo, Mauro Birattari, Gianni A. Di Caro, René Doursat, Andries P. Engelbrecht, Dario Floreano, Luca Maria Gambardella, Roderich Groß, Erol Sahin, Hiroki Sayama, Thomas Stützle:
Swarm Intelligence - 7th International Conference, ANTS 2010, Brussels, Belgium, September 8-10, 2010. Proceedings. Lecture Notes in Computer Science 6234, Springer 2010, ISBN 978-3-642-15460-7 [contents] - [e7]Vittorio Maniezzo, Thomas Stützle, Stefan Voß:
Matheuristics - Hybridizing Metaheuristics and Mathematical Programming. Annals of Information Systems 10, Springer 2010, ISBN 978-1-4419-1305-0 [contents] - [r5]Marco Dorigo, Mauro Birattari, Thomas Stützle:
Metaheuristic. Encyclopedia of Machine Learning 2010: 662
2000 – 2009
- 2009
- [j30]Luís Paquete, Thomas Stützle:
Design and analysis of stochastic local search for the multiobjective traveling salesman problem. Comput. Oper. Res. 36(9): 2619-2631 (2009) - [j29]Prasanna Balaprakash, Mauro Birattari, Thomas Stützle, Marco Dorigo:
Adaptive sample size and importance sampling in estimation-based local search for the probabilistic traveling salesman problem. Eur. J. Oper. Res. 199(1): 98-110 (2009) - [j28]Frank Hutter, Holger H. Hoos, Kevin Leyton-Brown, Thomas Stützle:
ParamILS: An Automatic Algorithm Configuration Framework. J. Artif. Intell. Res. 36: 267-306 (2009) - [j27]Oliver Korb, Thomas Stützle, Thomas E. Exner:
Empirical Scoring Functions for Advanced Protein-Ligand Docking with PLANTS. J. Chem. Inf. Model. 49(1): 84-96 (2009) - [j26]Karl F. Doerner, Daniel Merkle, Thomas Stützle:
Special issue on ant colony optimization. Swarm Intell. 3(1): 1-2 (2009) - [j25]Prasanna Balaprakash, Mauro Birattari, Thomas Stützle, Zhi Yuan, Marco Dorigo:
Estimation-based ant colony optimization and local search for the probabilistic traveling salesman problem. Swarm Intell. 3(3): 223-242 (2009) - [j24]Marco Antonio Montes de Oca, Thomas Stützle, Mauro Birattari, Marco Dorigo:
Frankenstein's PSO: A Composite Particle Swarm Optimization Algorithm. IEEE Trans. Evol. Comput. 13(5): 1120-1132 (2009) - [c48]Francesco Sambo, Marco Antonio Montes de Oca, Barbara Di Camillo, Thomas Stützle:
On the Difficulty of Inferring Gene Regulatory Networks: A Study of the Fitness Landscape Generated by Relative Squared Error. Artificial Evolution 2009: 74-85 - [c47]Manuel López-Ibáñez, Thomas Stützle:
An Analysis of Algorithmic Components for Multiobjective Ant Colony Optimization: A Case Study on the Biobjective TSP. Artificial Evolution 2009: 134-145 - [c46]Marco Antonio Montes de Oca, Jorge Peña, Thomas Stützle, Carlo Pinciroli, Marco Dorigo:
Heterogeneous particle swarm optimizers. IEEE Congress on Evolutionary Computation 2009: 698-705 - [c45]Thomas Stützle:
Ant Colony Optimization. EMO 2009: 2 - [c44]Jérémie Dubois-Lacoste, Manuel López-Ibáñez, Thomas Stützle:
Effective Hybrid Stochastic Local Search Algorithms for Biobjective Permutation Flowshop Scheduling. Hybrid Metaheuristics 2009: 100-114 - [c43]Mohamed Saifullah Hussin, Thomas Stützle:
Hierarchical Iterated Local Search for the Quadratic Assignment Problem. Hybrid Metaheuristics 2009: 115-129 - [c42]Cristina Teixeira, José A. Covas, Thomas Stützle, António Gaspar-Cunha:
Optimization of Co-rotating Twin-Screw Extruders Using Pareto Local Search. WSC 2009: 3-10 - [e6]Thomas Stützle:
Learning and Intelligent Optimization, Third International Conference, LION 3, Trento, Italy, January 14-18, 2009. Selected Papers. Lecture Notes in Computer Science 5851, Springer 2009, ISBN 978-3-642-11168-6 [contents] - [e5]Thomas Stützle, Mauro Birattari, Holger H. Hoos:
Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics, Second International Workshop, SLS 2009, Brussels, Belgium, September 3-4, 2009. Proceedings. Lecture Notes in Computer Science 5752, Springer 2009, ISBN 978-3-642-03750-4 [contents] - 2008
- [j23]Peter M. Hahn, Bum-Jin Kim, Thomas Stützle, Sebastian Kanthak, William L. Hightower, Harvind Samra, Zhi Ding, Monique Guignard:
The quadratic three-dimensional assignment problem: Exact and approximate solution methods. Eur. J. Oper. Res. 184(2): 416-428 (2008) - [j22]Rubén Ruiz, Thomas Stützle:
An Iterated Greedy heuristic for the sequence dependent setup times flowshop problem with makespan and weighted tardiness objectives. Eur. J. Oper. Res. 187(3): 1143-1159 (2008) - [j21]Mauro Birattari, Prasanna Balaprakash, Thomas Stützle, Marco Dorigo:
Estimation-Based Local Search for Stochastic Combinatorial Optimization Using Delta Evaluations: A Case Study on the Probabilistic Traveling Salesman Problem. INFORMS J. Comput. 20(4): 644-658 (2008) - [j20]Thomas Stützle:
ANTS 2008 - Call for Papers. Künstliche Intell. 22(1): 76 (2008) - [c41]Renaud Lenne, Christine Solnon, Thomas Stützle, Eric Tannier, Mauro Birattari:
Reactive Stochastic Local Search Algorithms for the Genomic Median Problem. EvoCOP 2008: 266-276 - [c40]Marco Antonio Montes de Oca, Thomas Stützle:
Convergence behavior of the fully informed particle swarm optimization algorithm. GECCO 2008: 71-78 - [c39]Marco Antonio Montes de Oca, Thomas Stützle:
Towards incremental social learning in optimization and multiagent systems. GECCO (Companion) 2008: 1939-1944 - [c38]Marco Antonio Montes de Oca, Ken Van den Enden, Thomas Stützle:
Incremental Particle Swarm-Guided Local Search for Continuous Optimization. Hybrid Metaheuristics 2008: 72-86 - [c37]Zhi Yuan, Armin Fügenschuh, Henning Homfeld, Prasanna Balaprakash, Thomas Stützle, Michael Schoch:
Iterated Greedy Algorithms for a Real-World Cyclic Train Scheduling Problem. Hybrid Metaheuristics 2008: 102-116 - [p5]Prasanna Balaprakash, Mauro Birattari, Thomas Stützle:
Engineering Stochastic Local Search Algorithms: A Case Study in Estimation-Based Local Search for the Probabilistic Travelling Salesman Problem. Recent Advances in Evolutionary Computation for Combinatorial Optimization 2008: 53-66 - [p4]Marco Chiarandini, Irina Dumitrescu, Thomas Stützle:
Very Large-Scale Neighborhood Search: Overview and Case Studies on Coloring Problems. Hybrid Metaheuristics 2008: 117-150 - [e4]Marco Dorigo, Mauro Birattari, Christian Blum, Maurice Clerc, Thomas Stützle, Alan F. T. Winfield:
Ant Colony Optimization and Swarm Intelligence, 6th International Conference, ANTS 2008, Brussels, Belgium, September 22-24, 2008. Proceedings. Lecture Notes in Computer Science 5217, Springer 2008, ISBN 978-3-540-87526-0 [contents] - 2007
- [j19]Holger H. Hoos, Thomas Stützle:
Preface. Ann. Oper. Res. 156(1): 1-4 (2007) - [j18]Luís Paquete, Tommaso Schiavinotto, Thomas Stützle:
On local optima in multiobjective combinatorial optimization problems. Ann. Oper. Res. 156(1): 83-97 (2007) - [j17]Marco Chiarandini, Thomas Stützle:
Stochastic Local Search Algorithms for Graph Set T -colouring and Frequency Assignment. Constraints An Int. J. 12(3): 371-403 (2007) - [j16]Tommaso Schiavinotto, Thomas Stützle:
A review of metrics on permutations for search landscape analysis. Comput. Oper. Res. 34(10): 3143-3153 (2007) - [j15]Rubén Ruiz, Thomas Stützle:
A simple and effective iterated greedy algorithm for the permutation flowshop scheduling problem. Eur. J. Oper. Res. 177(3): 2033-2049 (2007) - [j14]Oliver Korb, Thomas Stützle, Thomas E. Exner:
An ant colony optimization approach to flexible protein-ligand docking. Swarm Intell. 1(2): 115-134 (2007) - [c36]Frank Hutter, Holger H. Hoos, Thomas Stützle:
Automatic Algorithm Configuration Based on Local Search. AAAI 2007: 1152-1157 - [c35]Prasanna Balaprakash, Mauro Birattari, Thomas Stützle:
Improvement Strategies for the F-Race Algorithm: Sampling Design and Iterative Refinement. Hybrid Metaheuristics 2007: 108-122 - [p3]Luís Paquete, Thomas Stützle, Manuel López-Ibáñez:
Using Experimental Design to Analyze Stochastic Local Search Algorithms for Multiobjective Problems. Metaheuristics 2007: 325-344 - [e3]Thomas Stützle, Mauro Birattari, Holger H. Hoos:
Engineering Stochastic Local Search Algorithms. Designing, Implementing and Analyzing Effective Heuristics, International Workshop, SLS 2007, Brussels, Belgium, September 6-8, 2007, Proceedings. Lecture Notes in Computer Science 4638, Springer 2007, ISBN 978-3-540-74445-0 [contents] - [r4]Holger H. Hoos, Thomas Stützle:
Empirical Analysis of Randomized Algorithms. Handbook of Approximation Algorithms and Metaheuristics 2007 - [r3]Holger H. Hoos, Thomas Stützle:
Stochastic Local Search. Handbook of Approximation Algorithms and Metaheuristics 2007 - [r2]Luís Paquete, Thomas Stützle:
Stochastic Local Search Algorithms for Multiobjective Combinatorial Optimization. Handbook of Approximation Algorithms and Metaheuristics 2007 - [r1]Thomas Stützle, Irina Dumitrescu, Marco Chiarandini:
Stochastic Local Search Algorithms for the Graph Coloring Problem. Handbook of Approximation Algorithms and Metaheuristics 2007 - 2006
- [j13]Marco Dorigo, Mauro Birattari, Thomas Stützle:
Ant colony optimization. IEEE Comput. Intell. Mag. 1(4): 28-39 (2006) - [j12]Luís Paquete, Thomas Stützle:
A study of stochastic local search algorithms for the biobjective QAP with correlated flow matrices. Eur. J. Oper. Res. 169(3): 943-959 (2006) - [j11]Thomas Stützle:
Iterated local search for the quadratic assignment problem. Eur. J. Oper. Res. 174(3): 1519-1539 (2006) - [j10]Manuel López-Ibáñez, Luís Paquete, Thomas Stützle:
Hybrid Population-Based Algorithms for the Bi-Objective Quadratic Assignment Problem. J. Math. Model. Algorithms 5(1): 111-137 (2006) - [c34]Marco Antonio Montes de Oca, Thomas Stützle, Mauro Birattari, Marco Dorigo:
A Comparison of Particle Swarm Optimization Algorithms Based on Run-Length Distributions. ANTS Workshop 2006: 1-12 - [c33]Prasanna Balaprakash, Mauro Birattari, Thomas Stützle, Marco Dorigo:
Incremental Local Search in Ant Colony Optimization: Why It Fails for the Quadratic Assignment Problem. ANTS Workshop 2006: 156-166 - [c32]Wolfram Wiesemann, Thomas Stützle:
Iterated Ants: An Experimental Study for the Quadratic Assignment Problem. ANTS Workshop 2006: 179-190 - [c31]Max Manfrin, Mauro Birattari, Thomas Stützle, Marco Dorigo:
Parallel Ant Colony Optimization for the Traveling Salesman Problem. ANTS Workshop 2006: 224-234 - [c30]Oliver Korb, Thomas Stützle, Thomas E. Exner:
PLANTS: Application of Ant Colony Optimization to Structure-Based Drug Design. ANTS Workshop 2006: 247-258 - [c29]Jens Gimmler, Thomas Stützle, Thomas E. Exner:
Hybrid Particle Swarm Optimization: An Examination of the Influence of Iterative Improvement Algorithms on Performance. ANTS Workshop 2006: 436-443 - [c28]Jodelson A. Sabino, Thomas Stützle, Mauro Birattari, José Eugênio Leal:
ACO Applied to Switch Engine Scheduling in a Railroad Yard. ANTS Workshop 2006: 502-503 - [c27]Marco Chiarandini, Thomas Stützle, Kim S. Larsen:
Colour Reassignment in Tabu Search for the Graph Set T-Colouring Problem. Hybrid Metaheuristics 2006: 162-177 - [e2]Marco Dorigo, Luca Maria Gambardella, Mauro Birattari, Alcherio Martinoli, Riccardo Poli, Thomas Stützle:
Ant Colony Optimization and Swarm Intelligence, 5th International Workshop, ANTS 2006, Brussels, Belgium, September 4-7, 2006, Proceedings. Lecture Notes in Computer Science 4150, Springer 2006, ISBN 3-540-38482-0 [contents] - 2005
- [c26]Sven Becker, Jens Gottlieb, Thomas Stützle:
Applications of Racing Algorithms: An Industrial Perspective. Artificial Evolution 2005: 271-283 - [c25]Frank Hutter, Holger H. Hoos, Thomas Stützle:
Efficient Stochastic Local Search for MPE Solving. IJCAI 2005: 169-174 - 2004
- [b3]Marco Dorigo, Thomas Stützle:
Ant colony optimization. MIT Press 2004, ISBN 978-0-262-04219-2, pp. I-XIV, 1-305 - [b2]Holger H. Hoos, Thomas Stützle:
Stochastic Local Search: Foundations & Applications. Elsevier / Morgan Kaufmann 2004, ISBN 1-55860-872-9 - [j9]Tommaso Schiavinotto, Thomas Stützle:
The linear ordering problem: Instances, search space analysis and algorithms. J. Math. Model. Algorithms 3(4): 367-402 (2004) - [c24]Lucas Lessing, Irina Dumitrescu, Thomas Stützle:
A Comparison Between ACO Algorithms for the Set Covering Problem. ANTS Workshop 2004: 1-12 - [c23]Manuel López-Ibáñez, Luís Paquete, Thomas Stützle:
On the Design of ACO for the Biobjective Quadratic Assignment Problem. ANTS Workshop 2004: 214-225 - [c22]Thomas Stützle, Susana Fernandes:
New Benchmark Instances for the QAP and the Experimental Analysis of Algorithms. EvoCOP 2004: 199-209 - [c21]Holger H. Hoos, Kevin Smyth, Thomas Stützle:
Search Space Features Underlying the Performance of Stochastic Local Search Algorithms for MAX-SAT. PPSN 2004: 51-60 - [p2]Luís Paquete, Marco Chiarandini, Thomas Stützle:
Pareto Local Optimum Sets in the Biobjective Traveling Salesman Problem: An Experimental Study. Metaheuristics for Multiobjective Optimisation 2004: 177-199 - [e1]Marco Dorigo, Mauro Birattari, Christian Blum, Luca Maria Gambardella, Francesco Mondada, Thomas Stützle:
Ant Colony Optimization and Swarm Intelligence, 4th International Workshop, ANTS 2004, Brussels, Belgium, September 5 - 8, 2004, Proceedings. Lecture Notes in Computer Science 3172, Springer 2004, ISBN 3-540-22672-9 [contents] - 2003
- [c20]Michael Pavlin, Holger H. Hoos, Thomas Stützle:
Stochastic Local Search for Multiprocessor Scheduling for Minimum Total Tardiness. AI 2003: 96-113 - [c19]Kevin Smyth, Holger H. Hoos, Thomas Stützle:
Iterated Robust Tabu Search for MAX-SAT. AI 2003: 129-144 - [c18]Luís Paquete, Thomas Stützle:
A Two-Phase Local Search for the Biobjective Traveling Salesman Problem. EMO 2003: 479-493 - [c17]Irina Dumitrescu, Thomas Stützle:
Combinations of Local Search and Exact Algorithms. EvoWorkshops 2003: 211-223 - [c16]Tommaso Schiavinotto, Thomas Stützle:
Search Space Analysis of the Linear Ordering Problem. EvoWorkshops 2003: 322-333 - [p1]Helena R. Lourenço, Olivier C. Martin, Thomas Stützle:
Iterated Local Search. Handbook of Metaheuristics 2003: 320-353 - 2002
- [j8]Luca Maria Gambardella, Marco Dorigo, Martin Middendorf, Thomas Stützle:
Guest editorial: special section on ant colony optimization. IEEE Trans. Evol. Comput. 6(4): 317-319 (2002) - [j7]Thomas Stützle, Marco Dorigo:
A short convergence proof for a class of ant colony optimization algorithms. IEEE Trans. Evol. Comput. 6(4): 358-365 (2002) - [c15]Markus Finger, Thomas Stützle, Helena R. Lourenço:
Exploiting Fitness Distance Correlation of Set Covering Problems. EvoWorkshops 2002: 61-71 - [c14]Luís Paquete, Thomas Stützle:
An Experimental Investigation of Iterated Local Search for Coloring Graphs. EvoWorkshops 2002: 122-131 - [c13]Mauro Birattari, Thomas Stützle, Luís Paquete, Klaus Varrentrapp:
A Racing Algorithm for Configuring Metaheuristics. GECCO 2002: 11-18 - [c12]Olivia Rossi-Doria, Michael Sampels, Mauro Birattari, Marco Chiarandini, Marco Dorigo, Luca Maria Gambardella, Joshua D. Knowles, Max Manfrin, Monaldo Mastrolilli, Ben Paechter, Luís Paquete, Thomas Stützle:
A Comparison of the Performance of Different Metaheuristics on the Timetabling Problem. PATAT 2002: 329-354 - 2001
- [j6]Thomas Stützle, Holger H. Hoos:
Ameisenalgorithmen zur Lösung kombinatorischer Optimierungsprobleme. Künstliche Intell. 15(1): 45-51 (2001) - [c11]Matthijs den Besten, Thomas Stützle, Marco Dorigo:
Design of Iterated Local Search Algorithms. EvoWorkshops 2001: 441-451 - 2000
- [j5]Marco Dorigo, Gianni Di Caro, Thomas Stützle:
Ant algorithms. Future Gener. Comput. Syst. 16(8) (2000) - [j4]Thomas Stützle, Holger H. Hoos:
MAX-MIN Ant System. Future Gener. Comput. Syst. 16(8): 889-914 (2000) - [j3]Holger H. Hoos, Thomas Stützle:
Local Search Algorithms for SAT: An Empirical Evaluation. J. Autom. Reason. 24(4): 421-481 (2000) - [c10]Matthijs den Besten, Thomas Stützle, Marco Dorigo:
Ant Colony Optimization for the Total Weighted Tardiness Problem. PPSN 2000: 611-620 - [c9]Thomas Stützle, Andreas Grün, Sebastian Linke, Marco Rüttger:
A Comparison of Nature Inspired Heuristics on the Traveling Salesman Problem. PPSN 2000: 661-670
1990 – 1999
- 1999
- [b1]Thomas Stützle:
Local search algorithms for combinatorial problems - analysis, improvements, and new applications. Darmstadt University of Technology, Germany, DISKI 220, Infix 1999, ISBN 978-3-89601-220-3, pp. I-XI, 1-203 - [j2]Holger H. Hoos, Thomas Stützle:
Towards a Characterisation of the Behaviour of Stochastic Local Search Algorithms for SAT. Artif. Intell. 112(1-2): 213-232 (1999) - [c8]Holger H. Hoos, Thomas Stützle:
Systematic vs. Local Search for SAT. KI 1999: 289-293 - 1998
- [c7]Holger H. Hoos, Thomas Stützle:
Some Surprising Regularities in the Behaviour of Stochastic Local Search. CP 1998: 470 - [c6]Thomas Stützle:
Parallelization Strategies for Ant Colony Optimization. PPSN 1998: 722-731 - [c5]Holger H. Hoos, Thomas Stützle:
Evaluating Las Vegas Algorithms: Pitfalls and Remedies. UAI 1998: 238-245 - 1997
- [j1]Thomas Stützle:
Lokale Suchverfahren für Constrain Satisfaction Probleme: die min conflicts Heuristik und Tabu Search. Künstliche Intell. 11(1): 14-20 (1997) - [c4]Thomas Stützle, Holger H. Hoos:
Improvements on the Ant-System: Introducing the MAX-MIN Ant System. ICANNGA 1997: 245-249 - [c3]Thomas Stützle, Holger H. Hoos:
MAX-MIN Ant System and local search for the traveling salesman problem. ICEC 1997: 309-314 - [c2]Olaf Steinmann, Antje Strohmaier, Thomas Stützle:
Tabu Search vs. Random Walk. KI 1997: 337-348 - 1995
- [c1]Thomas Stützle:
A Neural Network Approach to Quality Control Charts. IWANN 1995: 1135-1141
Coauthor Index
[j108] [j107] [j104] [j103] [j101] [j100] [c129] [e14] [j87] [c124] [r9] [j74] [c117] [r6] [e11] [j69] [j66] [j60] [j55] [e10] [j53] [j51] [c70] [p10] [e9] [j38] [j37] [c63] [c62] [j35] [j33] [c50] [e8] [r5] [j29] [j25] [j24] [c46] [j21] [e4] [j13] [c34] [c33] [c31] [e2] [b3] [e1] [j8] [j7] [c12] [c11] [j5] [c10]
Marie-Eléonore Kessaci
aka: Marie-Eléonore Marmion
aka: Marie-Eléonore Marmion
[j110] [d3] [d2] [c135] [c134] [c132] [c130] [d1] [j99] [c128] [p17] [c125] [e12] [j86] [c122] [r9] [j74] [c115] [c112] [c108] [j71] [c104] [e11] [j68] [j65] [c98] [c97] [c95] [j62] [j59] [c94] [c93] [c92] [c91] [c90] [c88] [c87] [c86] [c83] [c82] [c81] [c76] [c75] [c74] [p11] [j46] [j44] [c72] [c71] [c68] [p10] [j43] [j42] [c65] [c60] [c58] [c55] [c54] [c53] [c51] [p9] [c47] [c44] [p3] [j10] [c23]
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