189 citations · 702 across the 38 of their papers we have counts for
7 papers · 1 filter
The Connectivity of NK Landscapes' Basins: A Network Analysis
Sébastien Verel, Gabriela Ochoa, Marco Tomassini
We propose a network characterization of combinatorial fitness landscapes by adapting the notion of inherent networks proposed for energy surfaces. We use the well-known family of…
A Study of NK Landscapes' Basins and Local Optima Networks
Gabriela Ochoa, Marco Tomassini, Sébastien Verel +1
We propose a network characterization of combinatorial fitness landscapes by adapting the notion of inherent networks proposed for energy surfaces (Doye, 2002). We use the well-kno…
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…
Neutral Fitness Landscape in the Cellular Automata Majority Problem
Sébastien Verel, Philippe Collard, Marco Tomassini +1
We study in detail the fitness landscape of a difficult cellular automata computational task: the majority problem. Our results show why this problem landscape is so hard to search…