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ORCIDThomas Stützle
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- affiliation: Université libre de Bruxelles, Belgium
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2020 – today
- 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) - [c134]Yunshuang Xiao, Leslie Pérez Cáceres, Manuel López-Ibáñez, Thomas Stützle:
Algorithm Configuration via Continuously Racing: Preliminary Results. GECCO Companion 2023: 1744-1752 - [c133]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) - [c132]Imène Ait Abderrahim, Thomas Stützle:
Automatic Configuration of Metaheuristics for Solving the Quadratic Three-Dimensional Assignment Problem Using Irace. MIC 2022: 350-364 - [c131]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) - [c130]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 - [c129]Thomas Stützle, Manuel López-Ibáñez:
Automated algorithm configuration and design. GECCO Companion 2021: 959-982 - 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) - [c128]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 - [c127]Manuel López-Ibáñez, Thomas Stützle:
Automated algorithm configuration and design. GECCO Companion 2020: 1075-1100 - [c126]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) - [c125]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 - [c124]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) - [c123]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 - [c122]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 - [c121]Manuel López-Ibáñez, Thomas Stützle:
Automated offline design of algorithms. GECCO (Companion) 2018: 1093-1120 - [c120]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) - [c119]Alberto Franzin, Thomas Stützle:
Comparison of Acceptance Criteria in Randomized Local Searches. Artificial Evolution 2017: 16-29 - [c118]Leslie Pérez Cáceres, Federico Pagnozzi, Alberto Franzin, Thomas Stützle:
Automatic Configuration of GCC Using Irace. Artificial Evolution 2017: 202-216 - [c117]Jérémie Dubois-Lacoste, Thomas Stützle:
Tuning of a stigmergy-based traffic light controller as a dynamic optimization problem. CEC 2017: 1-8 - [c116]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 - [c115]Yuefeng Lin, Wenli Du, Thomas Stützle:
Three L-SHADE based algorithms on mixed-variables optimization problems. CEC 2017: 2274-2281 - [c114]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 - [c113]Hayfa Hammami, Thomas Stützle:
A Computational Study of Neighborhood Operators for Job-Shop Scheduling Problems with Regular Objectives. EvoCOP 2017: 1-17 - [c112]Nguyen Dang, Leslie Pérez Cáceres, Patrick De Causmaecker, Thomas Stützle:
Configuring irace using surrogate configuration benchmarks. GECCO 2017: 243-250 - [c111]Manuel López-Ibáñez, Thomas Stützle:
Automated offline design of algorithms. GECCO (Companion) 2017: 1038-1065 - [c110]Leslie Pérez Cáceres, Bernd Bischl, Thomas Stützle:
Evaluating random forest models for irace. GECCO (Companion) 2017: 1146-1153 - [c109]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 - [c108]George Davidescu, Thomas Stützle, Valeriy Vyatkin:
Network planning in smart grids via a local search heuristic for spanning forest problems. ISIE 2017: 1212-1218 - [c107]Leslie Pérez Cáceres, Manuel López-Ibáñez, Holger H. Hoos, Thomas Stützle:
An Experimental Study of Adaptive Capping in irace. LION 2017: 235-250 - [c106]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) - [c105]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 - [c104]Jérémie Dubois-Lacoste, Thomas Stützle:
Configuring a Stigmergy-based Traffic Light Controller. GECCO (Companion) 2016: 137-138 - [c103]Thomas Stützle, Manuel López-Ibáñez:
Automatic (Offline) Configuration of Algorithms. GECCO (Companion) 2016: 795-818 - [c102]Silvino Fernandez, Thomas Stützle, Pablo Valledor Pellicer:
IAM 2016 Chairs' Welcome & Organization. GECCO (Companion) 2016: 911-912 - [c101]Alberto Franzin, Thomas Stützle:
Exploration of Metaheuristics through Automatic Algorithm Configuration Techniques and Algorithmic Frameworks. GECCO (Companion) 2016: 1341-1347 - [c100]Thomas Stützle:
Automatic Algorithm Configuration: Methods, Applications, and Perspectives. IJCCI (ECTA) 2016: 7 - [c99]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) - [c98]Dogan Aydin, Thomas Stützle:
A configurable generalized artificial bee colony algorithm with local search strategies. CEC 2015: 1067-1074 - [c97]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 - [c96]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 - [c95]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 - [c94]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) - [c93]