Chaotic Clonal Selection Algorithm for Function Optimization

摘要：

The chaotic initialization and chaotic search are introduced into Clonal Selection Algorithm (CSA) to overcome random antibody initialization and premature convergence problems in traditional CSA. Taking full advantages of the ergodic and stochastic properties of chaotic variables, antibodies with different affinity perform chaotic search to exploit local solution space. Experimental results on test functions demonstrate that the chaotic CSA outperforms the classical clonal selection algorithm.

作者: Hongwei Dai Yu Yang Cunhua Li

作者单位: School of Computer and Engineering Huaihai Institute of Technology Lianyungang, Jiangsu, 222005 China

会议类型: 国际会议

会议名称: 2010 International Conference on E-Health Networking,Digital Ecosystems and Techonlogies(2010电子健康网络、数字生态系统和技术国际会议 EDT 2010)

会议地点: 深圳

会议语种:英文

页码: 181-184

在线出版日期: 2010-04-17（万方平台首次上网日期，不代表论文的发表时间）