Convergence Analysis of Mind Evolutionary Algorithm based on Functional Analysis

摘要：

As one of new type evolutionary computing methods, Mind Evolutionary Algorithm processes evolutionary operations by using similartax and dissimilation operator. This paper studies the variance of population during the evolution from the view of the functional analysis. Interval sheath theorem is used to prove the global convergence of the algorithm. The conclusion is validated again by the numerical experiment results.

关键词： Mind evolutionary algorithm Sequence Convergence Interval sheath theorem.

作者: Keming Xie Yuxia Qiu Gang Xie

作者单位: The college of Information Engineering, Tatyuan University of Technology, Taiyuan 030024, P.R.China

会议类型: 国际会议

会议名称: Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)

会议地点: 北京

会议语种:英文

页码: 707-710

在线出版日期: 2006-07-17（万方平台首次上网日期，不代表论文的发表时间）