Inertia Weight Selection Strategy Based On Lyapunov Stability Analysis

摘要：

In this paper, the Lyapunov stability theory is employed to analyze the stability of standard version of particle swarm optimization, and a random inertia weight selection strategy is obtained from the analyzed results. Simulation results show this random strategy may provide an efficient performance.

关键词： particle swarm optimization Lyapunov function stability

作者: Weibing Fan Zhihua Cui Jianchao Ceng

作者单位: Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology Taiyuan, Shanxi, PR.China, 030024

会议类型: 国际会议

会议名称: 2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)

会议地点: 沈阳

会议语种:英文

页码: 1-6

在线出版日期: 2009-08-12（万方平台首次上网日期，不代表论文的发表时间）