Marc Schoenauer
Marc Schoenauer
Senior Researcher Emeritus, INRIA
Verified email at - Homepage
Cited by
Cited by
Evolutionary algorithms for constrained parameter optimization problems
Z Michalewicz, M Schoenauer
Evolutionary computation 4 (1), 1-32, 1996
Conception optimale de structures
G Allaire, M Schoenauer
Springer, 2007
Parameter control in evolutionary algorithms
AE Eiben, Z Michalewicz, M Schoenauer, JE Smith
Parameter setting in evolutionary algorithms, 19-46, 2007
Evolutionary algorithms for constrained engineering problems
Z Michalewicz, D Dasgupta, RG Le Riche, M Schoenauer
Computers & Industrial Engineering 30 (4), 851-870, 1996
Constrained GA optimization
M Schoenauer, S Xanthakis
Proc. 5th International Conference on Genetic Algorithms, 573–580, 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
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
Evolving objects: A general purpose evolutionary computation library
M Keijzer, JJ Merelo, G Romero, M Schoenauer
International Conference on Artificial Evolution (Evolution Artificielle …, 2001
Evolutionary computing
AE Eiben, M Schoenauer
Information Processing Letters 82 (1), 1-6, 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
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
Genetic Programming: First European Workshop, EuroGP'98, Paris, France, April 14-15, 1998, Proceedings
W Banzhaf
Springer Science & Business Media, 1998
Topological optimum design using genetic algorithms
C Kane, M Schoenauer
Control and Cybernetics 25 (5), 1059-1088, 1996
Evolutionary computation at the edge of feasibility
M Schoenauer, Z Michalewicz
International Conference on Parallel Problem Solving from Nature, 245-254, 1996
Rigorous hitting times for binary mutations
J Garnier, L Kallel, M Schoenauer
Evolutionary Computation 7 (2), 173-203, 1999
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
April: Active preference learning-based reinforcement learning
R Akrour, M Schoenauer, M Sebag
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2012
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
Preference-based policy learning
R Akrour, M Schoenauer, M Sebag
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2011
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
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