A genetic algorithm with age and sexual features

Authors:
Yani Zhu;Zhongxiu Yang;Jiatao Song
Affiliations:
College of Electronic and Information Engineering, Ningbo University of Technology, Ningbo, Zhejiang, P.R. China;College of Electronic and Information Engineering, Ningbo University of Technology, Ningbo, Zhejiang, P.R. China;College of Electronic and Information Engineering, Ningbo University of Technology, Ningbo, Zhejiang, P.R. China
Venue:
ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
Year:
2006

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Abstract

Genetic Algorithm (GA) has been successfully applied to many optimization problems. One problem with Standard GA is its premature convergence for complex multi-modal functions. To overcome it, in this paper a novel genetic algorithm with age and sexual features is proposed. Age and sexual features are provided to individuals to simulate the sexual reproduction popular in nature. During applying age and sexual operators, different evolutionary parameters are given to genetic individuals. As a result, the proposed Genetic Algorithm can combat premature convergence and maintain the diversity of population, and thereby converge on global solutions.