Towards Improved Clonal Selection Algorithm by Increasing the Diversity Degree of Antibody

摘要：

Premature convergence is known as the most important problem in Clonal Selection Algorithm (CSA). In this article, we study this problem and propose a novel algorithm to increase the diversity degree of antibody, which is. known as an effective way to improve the performance of CSA. Though it is quite simple, our simulation with Traveling Salesman Problem (TSP) shows that our work is effective to prevent CSA from stopping search too early as in its original version. As compared with three existingworks, our work demonstrates obvious gain within the same number of generations, and the actual time cost is ignorable.

关键词： Clonal Selection Algorithm diversity of antibody convergence mutation

作者: Xiaowen Xu Weibin Chen

作者单位: College of Computer Science and Technology HUAQ1AO UNIVERSITY Xiamen, 361000, China

会议类型: 国际会议

会议名称: 2011 6th Joint International Information Technology and Artificial Intelligence Conference(2011年第六届IEEE联合国际信息技术与人工智能会议 IEEE ITAIC 2011)

会议地点: 重庆

会议语种:英文

页码: 806-810

在线出版日期: 2011-08-20（万方平台首次上网日期，不代表论文的发表时间）