An Experimental Study of Similarity-Based Mating on a Weight-Based Multiobjective Immune Genetic Algorithm

摘要：

In this study,a novel mate selection approach is presented,which is a modification of the tournament selection algorithm with similar individuals(TSASI)used in the weight based multiobjective immune genetic algorithm (WBMOIGA). Then we examine the effect of the proposed mate selection approach on the performance of WBMOIGA by comparing WBMOIGA with the proposed mate selection approach with WBMOIGA with TSASI and WBMOIGA with the binary tournament selection approach.Experimental results on three standard test problems(ZDT6,ZDT1,and FON) show that the performance of WBMOIGA can be improved by the proposed mate selection approach,and WBMOIGA with the proposed mate selection approach outperforms WBMOIGA with TSASI and WBMOIGA with the binary tournament selection approach.

关键词： multiobjective optimization immune genetic algorithm evolutionary algorithm similarity

作者: Jiaquan Gao Lei Fang

作者单位: Zhijiang College Zhejiang University of Technology Hangzhou,Zhejiang Province,310024,China

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 153-156

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）