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Manuel Clergue
Manuel Clergue
Enseignant chercheur, ESIEA
Verified email at esiea.fr
Title
Cited by
Cited by
Year
A study of fitness distance correlation as a difficulty measure in genetic programming
M Tomassini, L Vanneschi, P Collard, M Clergue
Evolutionary Computation 13 (2), 213-239, 2005
1662005
Fitness clouds and problem hardness in genetic programming
L Vanneschi, M Clergue, P Collard, M Tomassini, S Vérel
Genetic and Evolutionary Computation–GECCO 2004: Genetic and Evolutionary …, 2004
902004
Fitness distance correlation in structural mutation genetic programming
L Vanneschi, M Tomassini, P Collard, M Clergue
European Conference on Genetic Programming, 455-464, 2003
682003
Where are bottlenecks in NK fitness landscapes?
S Verel, P Collard, M Clergue
The 2003 Congress on Evolutionary Computation, 2003. CEC'03. 1, 273-280, 2003
652003
Maximum homologous crossover for linear genetic programming
M Defoin Platel, M Clergue, P Collard
European Conference on Genetic Programming, 194-203, 2003
442003
Fitness distance correlation and problem difficulty for genetic programming
M Clergue, P Collard, M Tomassini, L Vanneschi
Proceedings of the Genetic and Evolutionary Computation Conference, 724-732, 2002
392002
Fitness distance correlation, as statistical measure of genetic algorithm difficulty, revisited
P Collard, A Gaspar, M Clergue, C Escazut
Proceedings of the 13th European Conference on Artificial Intelligence, 650-654, 1998
391998
Local search heuristics: Fitness cloud versus fitness landscape
P Collard, S Verel, M Clergue
Proceedings of the 16th European Conference on Artificial Intelligence, 973-974, 2004
372004
Scuba Search: when selection meets innovation
S Verel, P Collard, M Clergue
Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No …, 2004
252004
On the influence of selection operators on performances in cellular genetic algorithms
D Simoncini, P Collard, S Verel, M Clergue
2007 IEEE Congress on Evolutionary Computation, 4706-4713, 2007
232007
Anisotropic selection in cellular genetic algorithms
D Simoncini, S Verel, P Collard, M Clergue
Proceedings of the 8th annual conference on Genetic and evolutionary …, 2006
222006
Difficulty of unimodal and multimodal landscapes in genetic programming
L Vanneschi, M Tomassini, M Clergue, P Collard
Genetic and Evolutionary Computation—GECCO 2003: Genetic and Evolutionary …, 2003
192003
Ga-hard functions built by combination of trap functions
M Clergue, P Collard
Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat …, 2002
162002
Centric selection: a way to tune the exploration/exploitation trade-off
D Simoncini, S Verel, P Collard, M Clergue
Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009
132009
Teams of genetic predictors for inverse problem solving
M Defoin Platel, M Chami, M Clergue, P Collard
Genetic Programming, 341-350, 2005
13*2005
Fitness distance correlation in genetic programming: a constructive counterexample
L Vanneschi, M Tomassini, P Collard, M Clergue
The 2003 Congress on Evolutionary Computation, 2003. CEC'03. 1, 289-296, 2003
122003
An Iterated Local Search to find many solutions of the 6-states Firing Squad Synchronization Problem
M Clergue, S Verel, E Formenti
Applied Soft Computing, 2018
102018
Measuring the evolvability landscape to study neutrality
S Verel, P Collard, M Clergue
Proceedings of the 8th annual conference on Genetic and evolutionary …, 2006
102006
A survey of problem difficulty in genetic programming
L Vanneschi, M Tomassini, P Collard, M Clergue
AI* IA 2005: Advances in Artificial Intelligence: 9th Congress of the …, 2005
102005
Synthetic neutrality for artificial evolution
P Collard, M Clergue, M Defoin-Platel
European Conference on Artificial Evolution, 254-265, 1999
101999
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