Research of Multi-Population Immune Genetic Algorithm and Its Application in Multi-Model Function Optimization

摘要：

A Multi-Population Immune Genetic Algorithm has been proposed in this paper. It adopts the Multi-Population policy to prevent premature convergence. The antibodies mutation mechanism is adopted to prevent the algorithm step in local optimal. It is unsupervised learning and easy to stabilization. When being used in function optimization, the results have shown that it has fascinating ability in function optimization.

作者: Yaoguang Wei Ming Sun Dongmei Fu Dong An

作者单位: College of Information and Electrical Engineering China Agriculture University Beijing, P.R China 10 College of Information and Engineering University of Science and Technology Beijing Beijing, P.R Chi

会议类型: 国际会议

会议名称: Fourth International Conference on Impulsive and Hybrid Dynamical Systems(ICIHDS 2007)(第四届国际脉冲和混合动力系统学术会议)

会议地点: 南宁

会议语种:英文

在线出版日期: 2007-07-20（万方平台首次上网日期，不代表论文的发表时间）