45 citations · 118 across the 12 of their papers we have counts for
13 papers
NK landscapes difficulty and Negative Slope Coefficient: How Sampling Influences the Results
Leonardo Vanneschi, Sébastien Verel, Philippe Collard +1
Negative Slope Coefficient is an indicator of problem hardness that has been introduced in 2004 and that has returned promising results on a large set of problems. It is based on t…
Centric selection: a way to tune the exploration/exploitation trade-off
David Simoncini, Sébastien Verel, Philippe Collard +1
In this paper, we study the exploration / exploitation trade-off in cellular genetic algorithms. We define a new selection scheme, the centric selection, which is tunable and allow…
Do not Choose Representation just Change: An Experimental Study in States based EA
Maroun Bercachi, Philippe Collard, Manuel Clergue +1
Our aim in this paper is to analyse the phenotypic effects (evolvability) of diverse coding conversion operators in an instance of the states based evolutionary algorithm (SEA). Si…
On the Influence of Selection Operators on Performances in Cellular Genetic Algorithms
David Simoncini, Philippe Collard, Sébastien Verel +1
In this paper, we study the influence of the selective pressure on the performance of cellular genetic algorithms. Cellular genetic algorithms are genetic algorithms where the popu…
From Cells to Islands: An unified Model of Cellular Parallel Genetic Algorithms
David Simoncini, Philippe Collard, Sébastien Verel +1
This paper presents the Anisotropic selection scheme for cellular Genetic Algorithms (cGA). This new scheme allows to enhance diversity and to control the selective pressure which…
Evolving Dynamic Change and Exchange of Genotype Encoding in Genetic Algorithms for Difficult Optimization Problems
Maroun Bercachi, Philippe Collard, Manuel Clergue +1
The application of genetic algorithms (GAs) to many optimization problems in organizations often results in good performance and high quality solutions. For successful and efficien…