| Evolutionary algorithms for constrained parameter optimization problems Z Michalewicz, M Schoenauer Evolutionary computation 4 (1), 1-32, 1996 | 2391 | 1996 |
| Conception optimale de structures G Allaire, M Schoenauer Springer, 2007 | 587 | 2007 |
| Parameter control in evolutionary algorithms AE Eiben, Z Michalewicz, M Schoenauer, JE Smith Parameter setting in evolutionary algorithms, 19-46, 2007 | 498 | 2007 |
| Evolutionary algorithms for constrained engineering problems Z Michalewicz, D Dasgupta, RG Le Riche, M Schoenauer Computers & Industrial Engineering 30 (4), 851-870, 1996 | 489 | 1996 |
| Constrained GA optimization M Schoenauer, S Xanthakis Proc. 5th International Conference on Genetic Algorithms, 573–580, 1993 | 385 | 1993 |
| The surprising creativity of digital evolution: A collection of anecdotes from the evolutionary computation and artificial life research communities J Lehman, J Clune, D Misevic, C Adami, L Altenberg, J Beaulieu, ... Artificial life 26 (2), 274-306, 2020 | 371 | 2020 |
| The grand challenge of computer Go: Monte Carlo tree search and extensions S Gelly, L Kocsis, M Schoenauer, M Sebag, D Silver, C Szepesvári, ... Communications of the ACM 55 (3), 106-113, 2012 | 327 | 2012 |
| Evolving objects: A general purpose evolutionary computation library M Keijzer, JJ Merelo, G Romero, M Schoenauer International Conference on Artificial Evolution (Evolution Artificielle …, 2001 | 309 | 2001 |
| Donner un sens à l’intelligence artificielle: pour une stratégie nationale et européenne C Villani, Y Bonnet, C Berthet, F Levin, M Schoenauer, AC Cornut, ... Conseil national du numérique, 2018 | 306 | 2018 |
| Evolutionary computing AE Eiben, M Schoenauer Information Processing Letters 82 (1), 1-6, 2002 | 305 | 2002 |
| ASCHEA: new results using adaptive segregational constraint handling SB Hamida, M Schoenauer Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat …, 2002 | 285 | 2002 |
| Genetic Programming: First European Workshop, EuroGP'98, Paris, France, April 14-15, 1998, Proceedings W Banzhaf Springer Science & Business Media, 1998 | 253* | 1998 |
| Topological optimum design using genetic algorithms C Kane, M Schoenauer Control and Cybernetics 25 (5), 1059-1088, 1996 | 250 | 1996 |
| April: Active preference learning-based reinforcement learning R Akrour, M Schoenauer, M Sebag Machine Learning and Knowledge Discovery in Databases: European Conference …, 2012 | 210 | 2012 |
| Evolutionary computation at the edge of feasibility M Schoenauer, Z Michalewicz International Conference on Parallel Problem Solving from Nature, 245-254, 1996 | 210 | 1996 |
| Rigorous hitting times for binary mutations J Garnier, L Kallel, M Schoenauer Evolutionary Computation 7 (2), 173-203, 1999 | 208 | 1999 |
| Preference-based policy learning R Akrour, M Schoenauer, M Sebag Machine Learning and Knowledge Discovery in Databases: European Conference …, 2011 | 202 | 2011 |
| Adaptive operator selection with dynamic multi-armed bandits L DaCosta, A Fialho, M Schoenauer, M Sebag Proceedings of the 10th annual conference on Genetic and evolutionary …, 2008 | 200 | 2008 |
| A framework for distributed evolutionary algorithms MG Arenas, P Collet, AE Eiben, M Jelasity, JJ Merelo, B Paechter, ... Parallel Problem Solving from Nature—PPSN VII: 7th International Conference …, 2002 | 189 | 2002 |
| Analyzing bandit-based adaptive operator selection mechanisms Á Fialho, L Da Costa, M Schoenauer, M Sebag Annals of Mathematics and Artificial Intelligence 60 (1), 25-64, 2010 | 184 | 2010 |
Michele SebagSenior ResearcherVerified email at lri.fr
