Parallel varying mutation genetic algorithms

We study a model of a GA that applies varying mutation parallel to crossover and background mutation, puts the operators in a cooperative-competitive stand with each other via extinctive selection, and uses an adaptation and mutation strategy to enhance the effectiveness of parallel mutation. The relevance of major components of the model to the performance of parallel varying mutation GAs is discussed