most citedAnisotropic selection in cellular genetic algorithms

22 citations · 29 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2011

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…

cs.AI2011★ 7 cited

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…

cs.AI2008

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…

cs.NE2008

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…

cs.AI2008★ 22 cited

Anisotropic selection in cellular genetic algorithms

David Simoncini, Sébastien Verel, Philippe Collard +1

In this paper we introduce a new selection scheme in cellular genetic algorithms (cGAs). Anisotropic Selection (AS) promotes diversity and allows accurate control of the selective…