Function Optimization Based on Improved Clonal Selection Algorithm

摘要：

An improved clonal selection algorithm is proposed for the two shortcomings of the traditional algorithm. Improved contents are as follows: An adaptive improved mutation operator is designed. And we put forward an improved selection operator which takes into account two factors of affinity and concentration. The simulation results show the improved algorithm is superior to the traditional clonal selection algorithm in convergence speed and optimizing result.

关键词： Clonal selection algorithm affinity weight factor convergence speed function optimization

作者: Xi CHEN Yuxuan DING Jianjun HE

作者单位: School of Information and Communication Engineering, Hunan Institute of Science and Technology, Yuey College of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuh School of Information Science and Engineering, Central South University, Changsha Hunan , China

会议类型: 国内会议

会议名称: 2012年第14届中国系统仿真技术及其应用学术年会

会议地点: 三亚

会议语种:英文

页码: 771-772

在线出版日期: 2012-08-11（万方平台首次上网日期，不代表论文的发表时间）