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 | 166 | 2005 |
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 | 90 | 2004 |
Fitness distance correlation in structural mutation genetic programming L Vanneschi, M Tomassini, P Collard, M Clergue European Conference on Genetic Programming, 455-464, 2003 | 68 | 2003 |
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 | 65 | 2003 |
Maximum homologous crossover for linear genetic programming M Defoin Platel, M Clergue, P Collard European Conference on Genetic Programming, 194-203, 2003 | 44 | 2003 |
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 | 39 | 2002 |
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 | 39 | 1998 |
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 | 37 | 2004 |
Scuba Search: when selection meets innovation S Verel, P Collard, M Clergue Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No …, 2004 | 25 | 2004 |
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 | 23 | 2007 |
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 | 22 | 2006 |
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 | 19 | 2003 |
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 | 16 | 2002 |
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 | 13 | 2009 |
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 | 12 | 2003 |
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 | 10 | 2018 |
Measuring the evolvability landscape to study neutrality S Verel, P Collard, M Clergue Proceedings of the 8th annual conference on Genetic and evolutionary …, 2006 | 10 | 2006 |
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 | 10 | 2005 |
Synthetic neutrality for artificial evolution P Collard, M Clergue, M Defoin-Platel European Conference on Artificial Evolution, 254-265, 1999 | 10 | 1999 |