Evolutionary Algorithm Based on Chaos Mutation and Immune Selection

摘要：

In order to keep the populations diversity, avoid local optimization and improve performance of evolutionary algorithm, a chaos immune evolutionary algorithm is presented. The over-spread character of chaos sequence was used to overcome redundancies, and the chaos initial value sensitivity was used to enlarge the searching space. At the same time, an immune selection operator was used to adjust the density, and vaccinations were used to exert the advantage of individuals. The experimental results show that the algorithm has good performance in the aspects of both convergence speed and the global convergence.

关键词： Immune Chaos Evolutionary Algorithm and Initial Value Sensitivity

作者: Nan Zhang Jianhua Zhang Zhishu Li Xianze Yang Bing Wu Chunchang Fu

作者单位: School of Computer Science and Technology, Southwest University for Nationalities Chengdu, 610041, C School of Computer, Sichuan University Chengdu, 610065, China

会议类型: 国际会议

会议名称: 2006 International Symposium on Distributed Computing and Applications to Business,Engineering and Science(2006年国际电子、工程及科学领域的分布式计算应用学术研讨会)

会议地点: 杭州

会议语种:英文

页码: 418-422

在线出版日期: 2006-10-12（万方平台首次上网日期，不代表论文的发表时间）