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Manuel Clergue

A Study of Fitness Distance Correlation as a Difficulty Measure in Genetic Programming
2005 · Marco Tomassini, Leonardo Vanneschi, et al. · Evolutionary Computation · 117
Fitness Clouds and Problem Hardness in Genetic Programming
2004 · Leonardo Vanneschi, Manuel Clergue, et al. · Lecture notes in computer science · 70
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
Fitness distance correlation and problem difficulty for genetic programming.
2002 · Clergue, M, Collard, P, et al. · IRIS · 29
Maximum Homologous Crossover for Linear Genetic Programming
2003 · Michael Defoin Platel, Manuel Clergue, et al. · Lecture notes in computer science · 27
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
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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GA-hard functions built by combination of Trap functions
2003 · M. Clergue, P. Collard · IEEE Congress on Evolutionary Computation (CEC) · 14
Centric selection: a way to tune the exploration/exploitation trade-off
2009 · David Simoncini, Sébastien Verel, et al. · Genetic and Evolutionary Computation Conference (GECCO) · 12
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Teams of Genetic Predictors for Inverse Problem Solving
2005 · Michael Defoin Platel, Malik Chami, et al. · Lecture notes in computer science · 10
From Cells to Islands: An Unified Model of Cellular Parallel Genetic Algorithms
2006 · David Simoncini, Philippe Collard, et al. · Lecture notes in computer science · 9
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An Iterated Local Search to find many solutions of the 6-states Firing Squad Synchronization Problem
2018 · Manuel Clergue, Sébastien Verel, et al. · Applied Soft Computing · 8
Evolutionary predictive modelling for flash floods
2013 · Wilfried Segretier, Martine Collard, et al. · IEEE Congress on Evolutionary Computation (CEC) · 8
An evolutionary data mining approach on hydrological data with classifier juries
2012 · Wilfried Segretier, Manuel Clergue, et al. · IEEE Congress on Evolutionary Computation (CEC) · 8
Fitness distance correlation in genetic programming: a constructive counterexample
2003 · L. Vanneschi, M. Tomassini, et al. · IEEE Congress on Evolutionary Computation (CEC) · 8
Misleading functions designed from alternation
2002 · P. Collard, M. Clergue, et al. · IEEE Congress on Evolutionary Computation (CEC) · 8
Measuring the evolvability landscape to study neutrality
2006 · S. Verel, P. Collard, et al. · Genetic and Evolutionary Computation Conference (GECCO) · 7
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Synthetic Neutrality for Artificial Evolution
2000 · Philippe Collard, Manuel Clergue, et al. · Lecture notes in computer science · 7
A Survey of Problem Difficulty in Genetic Programming
2005 · Leonardo Vanneschi, Marco Tomassini, et al. · Lecture notes in computer science · 6
Works count: 77
Citation count: 623
H-index: 14
I10-index: 16
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