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» Anisotropic selection in cellular genetic algorithms
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ACRI
2006
Springer
13 years 6 months ago
From Cells to Islands: An Unified Model of Cellular Parallel Genetic Algorithms
Abstract. This paper presents the Anisotropic selection scheme for cellular Genetic Algorithms (cGA). This new scheme allows to enhance diversity and to control the selective press...
David Simoncini, Philippe Collard, Sébastie...
GECCO
2006
Springer
119views Optimization» more  GECCO 2006»
13 years 8 months ago
Anisotropic selection in cellular genetic algorithms
David Simoncini, Sébastien Vérel, Ph...
EMO
2001
Springer
109views Optimization» more  EMO 2001»
13 years 9 months ago
Specification of Genetic Search Directions in Cellular Multi-objective Genetic Algorithms
When we try to implement a multi-objective genetic algorithm (MOGA) with variable weights for finding a set of Pareto optimal solutions, one difficulty lies in determining appropri...
Tadahiko Murata, Hisao Ishibuchi, Mitsuo Gen
BIOSYSTEMS
2008
129views more  BIOSYSTEMS 2008»
13 years 4 months ago
Reconstruction of DNA sequences using genetic algorithms and cellular automata: Towards mutation prediction?
Change of DNA sequence that fuels evolution is, to a certain extent, a deterministic process because mutagenesis does not occur in an absolutely random manner. So far, it has not ...
Ch. Mizas, Georgios Ch. Sirakoulis, Vasilios A. Ma...
EVOW
2004
Springer
13 years 10 months ago
Solving the Vehicle Routing Problem by Using Cellular Genetic Algorithms
Cellular Genetic Algorithms (cGAs) are a subclass of Genetic Algorithms (GAs) in which the population diversity and exploration are enhanced thanks to the existence of small overla...
Enrique Alba, Bernabé Dorronsoro