Multimodal Function Optimization Based on the Survival of the Fitness kind of the Evolution Strategy

In this paper, a new algorithm for the multimodal function optimization is proposed, base on the concept of the survival of the fitness rule of evolution. The proposed algorithm has common criteria not to be invaded by each other. Thus, there is only one survivor in a partial solution space in which one optimal point locates. To verify the proposed algorithm, three multimodal functions - Alex function 5, six-hump camel back function, and Rastrigin´s function - are tested.