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

Yulong Tian, Tao Gao, Weifang Zhai, Yaying Hu and Xinfeng Li
Additional contact information
Yulong Tian: China University of Geosciences Great Wall College, China
Tao Gao: North China Electric Power University, China
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

International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC), 2011, vol. 3, issue 1, 7-15

Abstract: 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.

Date: 2011
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/japuc.2011010102 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:japuc0:v:3:y:2011:i:1:p:7-15

Access Statistics for this article

International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC) is currently edited by Tao Gao

More articles in International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC) from IGI Global
Bibliographic data for series maintained by Journal Editor ().