| 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 | 1457 | 2016 |
| A Racing Algorithm for Configuring Metaheuristics. M Birattari, T Stützle, L Paquete, K Varrentrapp Gecco 2 (2002), 2002 | 741 | 2002 |
| A survey on filter techniques for feature selection in gene expression microarray analysis C Lazar, J Taminau, S Meganck, D Steenhoff, A Coletta, C Molter, ... IEEE/ACM transactions on computational biology and bioinformatics 9 (4 …, 2012 | 540 | 2012 |
| F-Race and Iterated F-Race: An Overview M Birattari, Z Yuan, P Balaprakash, T Stützle Experimental methods for the analysis of optimization algorithms, 311-336, 2010 | 466 | 2010 |
| Tuning metaheuristics: a machine learning perspective M Birattari, J Kacprzyk Springer, 2009 | 432 | 2009 |
| Systems practice: how to act in a climate change world R Ison Springer, 2010 | 374 | 2010 |
| Lazy learning for local modelling and control design G Bontempi, M Birattari, H Bersini International Journal of Control 72 (7-8), 643-658, 1999 | 313 | 1999 |
| Hybridizing genetic algorithms with hill-climbing methods for global optimization: two possible ways JM Renders, H Bersini Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE …, 1994 | 312 | 1994 |
| Improvement strategies for the F-Race algorithm: Sampling design and iterative refinement P Balaprakash, M Birattari, T Stützle International workshop on hybrid metaheuristics, 108-122, 2007 | 301 | 2007 |
| Batch effect removal methods for microarray gene expression data integration: a survey C Lazar, S Meganck, J Taminau, D Steenhoff, A Coletta, C Molter, ... Briefings in bioinformatics 14 (4), 469-490, 2013 | 284 | 2013 |
| Hints for adaptive problem solving gleaned from immune networks H Bersini, FJ Varela International Conference on Parallel Problem Solving from Nature, 343-354, 1990 | 278 | 1990 |
| Handbook of fuzzy computation E Ruspini, P Bonissone, W Pedrycz CRC Press, 2020 | 207 | 2020 |
| Default cascades in complex networks: Topology and systemic risk T Roukny, H Bersini, H Pirotte, G Caldarelli, S Battiston Scientific reports 3 (1), 1-8, 2013 | 191 | 2013 |
| An effective hybrid algorithm for university course timetabling M Chiarandini, M Birattari, K Socha, O Rossi-Doria Journal of Scheduling 9 (5), 403-432, 2006 | 179 | 2006 |
| The problem of tuning metaheuristics as seen from a machine learning perspective M Birattari Université libre de Bruxelles, 2004 | 178 | 2004 |
| 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 (1), 91-110, 2006 | 177 | 2006 |
| Results of the first international contest on evolutionary optimisation (1st ICEO) H Bersini, M Dorigo, S Langerman, G Seront, L Gambardella Proceedings of IEEE International Conference on Evolutionary Computation …, 1996 | 172 | 1996 |
| Neural controller based on back-propagation algorithm M Saerens, A Soquet IEE Proceedings F (Radar and Signal Processing) 138 (1), 55-62, 1991 | 172 | 1991 |
| Emergence of homochirality in far‐from‐equilibrium systems: mechanisms and role in prebiotic chemistry R Plasson, DK Kondepudi, H Bersini, A Commeyras, K Asakura Chirality: the Pharmacological, Biological, and Chemical Consequences of …, 2007 | 169 | 2007 |
| The immune recruitement mechanism: A selective evolutionary strategy H Bersini the Proceedings of ICGA-91, 520-526, 1991 | 168 | 1991 |
