Ant colony optimization: Artificial ants as a computational intelligence technique M Dorigo, M Birattari, T Stutzle IEEE computational intelligence magazine 1 (4), 28-39, 2006 | 17524 | 2006 |
The irace package: Iterated racing for automatic algorithm configuration M López-Ibáñez, J Dubois-Lacoste, LP Cáceres, M Birattari, T Stützle Operations Research Perspectives 3, 43-58, 2016 | 1988 | 2016 |
Swarm robotics: a review from the swarm engineering perspective M Brambilla, E Ferrante, M Birattari, M Dorigo Swarm Intelligence 7, 1-41, 2013 | 1974 | 2013 |
A Racing Algorithm for Configuring Metaheuristics. M Birattari, T Stützle, L Paquete, K Varrentrapp Gecco 2 (2002), 2002 | 825 | 2002 |
ARGoS: a modular, parallel, multi-engine simulator for multi-robot systems C Pinciroli, V Trianni, R O’Grady, G Pini, A Brutschy, M Brambilla, ... Swarm intelligence 6, 271-295, 2012 | 662 | 2012 |
F-race and iterated F-race: An overview M Birattari, Z Yuan, P Balaprakash, T Stützle Experimental methods for the analysis of optimization, 2010 | 554 | 2010 |
Swarmanoid: A novel concept for the study of heterogeneous robotic swarms M Dorigo, D Floreano, LM Gambardella, F Mondada, S Nolfi, T Baaboura, ... IEEE Robotics & Automation Magazine 1070 (9932/13), 2013 | 542 | 2013 |
Tuning metaheuristics: a machine learning perspective M Birattari Springer, 2009 | 505 | 2009 |
Frankenstein's PSO: a composite particle swarm optimization algorithm MA Montes de Oca, T Stutzle, M Birattari, M Dorigo Evolutionary Computation, IEEE Transactions on 13 (5), 1120-1132, 2009 | 420* | 2009 |
Model-based search for combinatorial optimization: A critical survey M Zlochin, M Birattari, N Meuleau, M Dorigo Annals of Operations Research 131, 373-395, 2004 | 369 | 2004 |
Lazy learning for local modelling and control design G Bontempi, M Birattari, H Bersini International Journal of Control 72 (7-8), 643-658, 1999 | 351 | 1999 |
Swarm intelligence M Dorigo, M Birattari Scholarpedia 2 (9), 1462, 2007 | 346 | 2007 |
Improvement strategies for the F-Race algorithm: Sampling design and iterative refinement P Balaprakash, M Birattari, T Stützle Hybrid Metaheuristics: 4th International Workshop, HM 2007, Dortmund …, 2007 | 328 | 2007 |
A comparison of the performance of different metaheuristics on the timetabling problem O Rossi-Doria, M Sampels, M Birattari, M Chiarandini, M Dorigo, ... Practice and Theory of Automated Timetabling IV: 4th International …, 2003 | 311 | 2003 |
Parameter adaptation in ant colony optimization T Stützle, M López-Ibánez, P Pellegrini, M Maur, M Montes de Oca, ... Autonomous Search, 191-215, 2012 | 244 | 2012 |
An effective hybrid algorithm for university course timetabling M Chiarandini, M Birattari, K Socha, O Rossi-Doria Journal of Scheduling 9, 403-432, 2006 | 234 | 2006 |
Swarm robotics M Dorigo, M Birattari, M Brambilla Scholarpedia 9 (1), 1463, 2014 | 213 | 2014 |
AutoMoDe: A novel approach to the automatic design of control software for robot swarms G Francesca, M Brambilla, A Brutschy, V Trianni, M Birattari Swarm Intelligence 8, 89-112, 2014 | 201 | 2014 |
Hybrid metaheuristics for the vehicle routing problem with stochastic demands L Bianchi, M Birattari, M Chiarandini, M Manfrin, M Mastrolilli, L Paquete, ... Journal of Mathematical Modelling and Algorithms 5, 91-110, 2006 | 194 | 2006 |
The problem of tuning metaheuristics as seen from a machine learning perspective M Birattari Université libre de Bruxelles, 2004 | 194 | 2004 |