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Philippe Collard

Observed names: COLLARD, Philippe, Collard Philippe, Collard, P, Collard, P., Collard, Philippe, P. Collard, P. Collard., PHILIPPE COLLARD
Observed institutions: Centre National de la Recherche Scientifique, Université Côte d'Azur, Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis, Université Nice Sophia Antipolis, Institut des Systèmes Complexes Paris Île-de-France, Communauté d'universités et d'établissements Université Côte d'Azur
ORCID: 0000-0003-3479-1405
Observed ORCID: 0000-0003-3479-1405
OpenAlex ID: A5113632866
A Study of Fitness Distance Correlation as a Difficulty Measure in Genetic Programming
2005 · Marco Tomassini, Leonardo Vanneschi, et al. · Evolutionary Computation · 117
From GAs to artificial immune systems: improving adaptation in time dependent optimization
2003 · A. Gasper, P. Collard · IEEE Congress on Evolutionary Computation (CEC) · 92
Fitness Clouds and Problem Hardness in Genetic Programming
2004 · Leonardo Vanneschi, Manuel Clergue, et al. · Lecture notes in computer science · 70
Negative Slope Coefficient: A Measure to Characterize Genetic Programming Fitness Landscapes
2006 · Leonardo Vanneschi, Marco Tomassini, et al. · Lecture notes in computer science · 62
Where are bottlenecks in NK fitness landscapes?
2003 · S. Verel, P. Collard, et al. · IEEE Congress on Evolutionary Computation (CEC) · 50
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Fitness Distance Correlation in Structural Mutation Genetic Programming
2003 · Leonardo Vanneschi, Marco Tomassini, et al. · Lecture notes in computer science · 49
Eye-tracking evolutionary algorithm to minimize user fatigue in IEC applied to interactive one-max problem
2007 · Denis Pallez, Philippe Collard, et al. · Genetic and Evolutionary Computation Conference Companion (GECCO Companion) · 47
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A Comprehensive View of Fitness Landscapes with Neutrality and Fitness Clouds
2007 · Leonardo Vanneschi, Marco Tomassini, et al. · Lecture notes in computer science · 31
Fitness landscape of the cellular automata majority problem: View from the “Olympus”
2007 · S. Verel, P. Collard, et al. · Theoretical Computer Science · 30
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Two models of immunization for time dependent optimization
2002 · A. Gaspar, P. Collard · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · 29
Fitness distance correlation and problem difficulty for genetic programming.
2002 · Clergue, M, Collard, P, et al. · IRIS · 29
DGA: an efficient genetic algorithm
1994 · Philippe Collard, J.F. Aurand · European Conference on Artificial Intelligence · 28
A quantitative study of neutrality in GP boolean landscapes
2006 · Leonardo Vanneschi, Yuri Pirola, et al. · Genetic and Evolutionary Computation Conference (GECCO) · 27
Maximum Homologous Crossover for Linear Genetic Programming
2003 · Michael Defoin Platel, Manuel Clergue, et al. · Lecture notes in computer science · 27
Genetic operators in a dual genetic algorithm
2002 · P. Collard, C. Escazut · IEEE International Conference on Tools with Artificial Intelligence (ICTAI) · 24
An Evolutionary Approach for Time Dependent Optimization
1997 · Philippe Collard, Cathy Escazut, et al. · International Journal of Artificial Intelligence Tools · 22
Local search heuristics: Fitness Cloud versus Fitness Landscape
2007 · Collard, Philippe, Verel, Sébastien, et al. · arXiv (Cornell University) · 21
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Scuba search: when selection meets innovation
2004 · S. Verel, P. Collard, et al. · IEEE Congress on Evolutionary Computation (CEC) · 21
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Anisotropic selection in cellular genetic algorithms
2006 · David Simoncini, Sébastien Verel, et al. · Genetic and Evolutionary Computation Conference (GECCO) · 20
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Fitness Distance Correlation, as statistical measure of Genetic Algorithm difficulty, revisited.
1998 · Philippe Collard, Alessio Gaspar, et al. · 20
Linkage in Evolutionary Computation
2008 · Bercachi, Maroun, Collard, Philippe, et al. · Studies in computational intelligence · 19
Deceptiveness and neutrality the ND family of fitness landscapes
2006 · William Beaudoin, Sébastien Verel, et al. · Genetic and Evolutionary Computation Conference (GECCO) · 18
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Difficulty of Unimodal and Multimodal Landscapes in Genetic Programming
2003 · Leonardo Vanneschi, Marco Tomassini, et al. · Lecture notes in computer science · 17
On the influence of selection operators on performances in cellular Genetic Algorithms
2007 · D. Simoncini, P. Collard, et al. · IEEE Congress on Evolutionary Computation (CEC) · 15
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Relational Schemata: A Way to Improve the Expressiveness of Classifiers
1995 · Philippe Collard, Cathy Escazut · international conference on Genetic algorithms · 15
Works count: 106
Citation count: 1,165
H-index: 20
I10-index: 33
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