Niche Genetic Algorithm Based on Sexual Reproduction and Multimodal Function Optimization Problem

In this paper, a genetic algorithm with sexual reproduction and niche selection technology is proposed. Simple genetic algorithm has been successfully applied to many evolutionary optimization problems. But there is a problem of premature convergence for complex multimodal functions. To solve it, the frame and realization of niche genetic algorithm based on sexual reproduction are presented. Age and sexual structures are given to the individuals referring the sexual reproduction and “niche” phenomena, importing the niche selection technology. During age and sexual operators, different evolutionary parameters are given to the individuals with different age and sexual structures. As a result, this genetic algorithm can combat premature convergence and keep the diversity of population. The testing for Rastrigin function and Shubert function proves that the niche genetic algorithm based on sexual reproduction is effective. Weifang Zhai China University of Geosciences Great Wall College, China Yaying Hu Hebei University Computer Center, China Xinfeng Li China University of Geosciences Great Wall College, China DOI: 10.4018/978-1-4666-2645-4.ch002