A New Self-Organizing Migrating Algorithm Based on Dynamic Hybrid Migrating

摘要：

A new self-organizing migrating algorithm named the Dynamic Hybrid Self-Organizing Migrating Algorithm (DHSOMA) is proposed in this paper. First the DHSOMA get the individuals rank in the population; if the rank of the individual is good, then the DHSOMA randomly selects an individual in population for cooperation evolution; else the DHSOMA takes the individuals dynamic self-organizing migrating. In this way, it accelerates the rate of convergence as well as the searching optima ability. Finally, in the numerical experiments show the performance is much better than HBSOMA and SOMA.

关键词： Self-Organizing Migrating Algorithm Dynamic Hybrid Migrating Evolutionary Algorithm

作者: Sheng Peng YuanXiang Li

作者单位: The State Key Lab of Software Engineering Wuhan University, Wuhan Hubei 430072, China

会议类型: 国际会议

会议名称: 2011 3nd International Conference on Mechanical and Electronics Engineering(2011年第三届机械与电子工程国际会议 ICMEE2011)

会议地点: 合肥

会议语种:英文

页码: 467-469

在线出版日期: 2011-09-23（万方平台首次上网日期，不代表论文的发表时间）