Application of Immune Genetic Algorithm to Multiobjective Optimization

摘要：

In this paper, immune genetic algorithm is proposed for multiobjective optimization problems by introducing the capability of the immune system to the simple genetic algorithm. The optimizing ability of the proposed algorithm is identified by comparing the result of optimization with the simple genetic algorithm. Immune genetic algorithm owns the better convergence than the simple genetic algorithm.

关键词： simple genetic algorithm immune algorithm immune genetic algorithm convergence

作者: Jun Xu Li Liu Wenbo Xu

作者单位: School of Information Technology, Southern Yangtze University, Wuxi, Jiangsu 214122, P.R.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: 1048-1050

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）