| 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 | 17255 | 2006 |
| The irace package: Iterated racing for automatic algorithm configuration M López-Ibáńez, J Dubois-Lacoste, LP Cáceres, M Birattari, T Stützle Operations Research Perspectives 3, 43-58, 2016 | 1925 | 2016 |
| Swarm robotics: a review from the swarm engineering perspective M Brambilla, E Ferrante, M Birattari, M Dorigo Swarm Intelligence 7, 1-41, 2013 | 1924 | 2013 |
| A Racing Algorithm for Configuring Metaheuristics. M Birattari, T Stützle, L Paquete, K Varrentrapp Gecco 2 (2002), 2002 | 819 | 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 | 647 | 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 | 542 | 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 | 537 | 2013 |
| Tuning metaheuristics: a machine learning perspective M Birattari Springer, 2009 | 500 | 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 | 414* | 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 | 367 | 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 | 349 | 1999 |
| Swarm intelligence M Dorigo, M Birattari Scholarpedia 2 (9), 1462, 2007 | 342 | 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 | 326 | 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 | 310 | 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 | 242 | 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 | 211 | 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 | 198 | 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 | 193 | 2004 |
| Parallel ant colony optimization for the traveling salesman problem M Manfrin, M Birattari, T Stützle, M Dorigo 5th International Workshop, ANTS, 1161-1172, 2006 | 190 | 2006 |
| Lazy learning meets the recursive least squares algorithm M Birattari, G Bontempi, H Bersini Advances in neural information processing systems 11, 1998 | 163 | 1998 |
| Self-organized task allocation to sequentially interdependent tasks in swarm robotics A Brutschy, G Pini, C Pinciroli, M Birattari, M Dorigo Autonomous agents and multi-agent systems 28, 101-125, 2014 | 159 | 2014 |
| Majority-rule opinion dynamics with differential latency: a mechanism for self-organized collective decision-making MA Montes de Oca, E Ferrante, A Scheidler, C Pinciroli, M Birattari, ... Swarm Intelligence 5 (3-4), 305-327, 2011 | 152 | 2011 |
| Classification of Metaheuristics and Design of Experiments for the Analysis of Components M Birattari, L Paquete, T Strutzle, K Varrentrapp Tech. Rep. AIDA-01-05, 2001 | 141 | 2001 |
| On the invariance of ant colony optimization M Birattari, P Pellegrini, M Dorigo ieee Transactions on evolutionary computation 11 (6), 732-742, 2007 | 138 | 2007 |
| Fault detection in autonomous robots based on fault injection and learning AL Christensen, R O’Grady, M Birattari, M Dorigo Autonomous Robots 24, 49-67, 2008 | 131 | 2008 |
| Automatic design of robot swarms: achievements and challenges G Francesca, M Birattari Frontiers in Robotics and AI 3, 29, 2016 | 125 | 2016 |
| The local paradigm for modeling and control: from neuro-fuzzy to lazy learning G Bontempi, H Bersini, M Birattari Fuzzy sets and systems 121 (1), 59-72, 2001 | 118 | 2001 |
| Ant colony optimization. Encyclopedia of machine learning M Dorigo, M Birattari Ant Colony Optimization: A Component-Wise Overview; Martí, R., Ed, 1-28, 2010 | 116 | 2010 |
| AutoMoDe-Chocolate: automatic design of control software for robot swarms G Francesca, M Brambilla, A Brutschy, L Garattoni, R Miletitch, G Podevijn, ... Swarm Intelligence 9 (2-3), 125-152, 2015 | 112 | 2015 |
| Toward the formal foundation of ant programming M Birattari, G Di Caro, M Dorigo Ant Algorithms, 39-72, 2002 | 105* | 2002 |
| Metaheuristics for the vehicle routing problem with stochastic demands L Bianchi, M Birattari, M Chiarandini, M Manfrin, M Mastrolilli, L Paquete, ... Parallel Problem Solving from Nature-PPSN VIII: 8th International Conference …, 2004 | 102 | 2004 |
| Property-driven design for robot swarms: A design method based on prescriptive modeling and model checking M Brambilla, A Brutschy, M Dorigo, M Birattari ACM Transactions on Autonomous and Adaptive Systems (TAAS) 9 (4), 1-28, 2014 | 95 | 2014 |
| Task partitioning in swarms of robots: An adaptive method for strategy selection G Pini, A Brutschy, M Frison, A Roli, M Dorigo, M Birattari Swarm Intelligence 5, 283-304, 2011 | 94 | 2011 |
| An analysis of communication policies for homogeneous multi-colony ACO algorithms C Twomey, T Stützle, M Dorigo, M Manfrin, M Birattari Information Sciences 180 (12), 2390-2404, 2010 | 93 | 2010 |
| Autonomous task sequencing in a robot swarm L Garattoni, M Birattari Science Robotics 3 (20), eaat0430, 2018 | 87 | 2018 |
| Continuous optimization algorithms for tuning real and integer parameters of swarm intelligence algorithms Z Yuan, MA Montes de Oca, M Birattari, T Stützle Swarm Intelligence 6 (1), 49-75, 2012 | 80 | 2012 |
| On the design of Boolean network robots A Roli, M Manfroni, C Pinciroli, M Birattari Applications of Evolutionary Computation: EvoApplications 2011: EvoCOMPLEX …, 2011 | 80 | 2011 |
| Property-driven design for swarm robotics. M Brambilla, C Pinciroli, M Birattari, M Dorigo AAMAS 2012, 1-8, 2012 | 78 | 2012 |
| A self-adaptive communication strategy for flocking in stationary and non-stationary environments E Ferrante, AE Turgut, A Stranieri, C Pinciroli, M Birattari, M Dorigo Natural Computing 13, 225-245, 2014 | 77 | 2014 |
| Estimation-based ant colony optimization and local search for the probabilistic traveling salesman problem P Balaprakash, M Birattari, T Stützle, Z Yuan, M Dorigo Swarm Intelligence 3, 223-242, 2009 | 75 | 2009 |
| Automatic off-line design of robot swarms: a manifesto M Birattari, A Ligot, D Bozhinoski, M Brambilla, G Francesca, L Garattoni, ... Frontiers in Robotics and AI 6, 59, 2019 | 74 | 2019 |
| Local learning for iterated time series prediction G Bontempi, M Birattari, H Bersini ICML, 32-38, 1999 | 74 | 1999 |
| How to assess and report the performance of a stochastic algorithm on a benchmark problem: mean or best result on a number of runs? M Birattari, M Dorigo Optimization letters 1, 309-311, 2007 | 73 | 2007 |
| Negotiation of goal direction for cooperative transport A Campo, S Nouyan, M Birattari, R Groß, M Dorigo Ant Colony Optimization and Swarm Intelligence: 5th International Workshop …, 2006 | 69 | 2006 |
Marco DorigoFNRS Research Director, IRIDIA, Université Libre de BruxellesVerified email at ulb.ac.be
