Improvement of Particle Swarm Optimization

摘要：

A new technique titled Particle Refresh and a hybridization with conjugate gradient method are introduced to particle swarm optimization (PSO). The former charges power to inactive particle to improve the recovery ability of PSO after trapping on a local solution, and as a result, it becomes easy to choose suitable values for control-parameters to keep high performance for diverse objective functions. On the other hand, the point of the latter is how to determine the changeover timing between a conjugate gradient method and a PSO algorithm.

作者: K.Kawakami Z.Meng

作者单位: Department of Electrical Engineering,Fukuoka University,Japan

会议类型: 国际会议

会议名称: Progress in Electromagnetics Research Symposium 2009(2009年电磁学研究新进展学术研讨会)(PIERS 2009)

会议地点: 北京

会议语种:英文

页码: 1667-1770

在线出版日期: 2009-03-23（万方平台首次上网日期，不代表论文的发表时间）