A Dynamic Niche Genetic Algorithm for Multimodal Function Optimization

This paper introduces a new genetic algorithm based on dynamic niche.In the course of the evolution of algorithm,the number of niche peaks is decided by seed identification and preservation process,the fitness ascending direction is applied to control search direction,adaptive population distance is used to control search range.The method proves very effective in finding multiple solutions of the multimodal optimization problems.