Parallel cooperative-competitive self-adaptive mutation in genetic algorithms

Abstract:

In previous works we have presented a model of Genetic Algorithm (GA) that applies varying mutations parallel to standard crossover & mutation putting them in a cooperative-competitive stand with each other. An improved GA based on this model (GA-SRM) using an adaptive mechanism for parallel mutation significantly improves the performance of GAs. In this work, we introduce a self-adaptive mechanism within the parallel mutation operator of GA-SRM and show that the model is an appropriate framework to effectively use and develop further self-adaptation within GAs.

Año de publicación:

2001

Keywords:

• Self-adaptation
• Genetic Algorithms
• Parallel cooperative-competitive genetic operators

Fuente:

scopus