Improved distributed genetic algorithm with cooperative-competitive genetic operators

Abstract:

We have presented an empirical model of GA that puts parallel genetic operators in a cooperative-competitive stand with each other. An improved GA (GA-SRM) based on this model remarkably improves the search performance of a single population GA. In this work, we extend GA-SRM to distributed GAs in order to improve the performance of multiple populations GAs. Simulation results verify that the parallel genetic operators in GA-SRM, CM and SRM, can successfully contribute to improve the search performance of distributed GAs.

Año de publicación:

2000

Keywords:

Fuente:

scopus