Using Small-world Model to Improve the Performance of Alignment Particle Swarm Optimization

摘要：

Alignment particle swarm optimization (APSO) is a novel variant of particle swarm optimization aiming to improve the population diversity. The topology structure of APSO is gbest model. Since the small-world model is more suit for the natural animal communication network, in this paper, it is incorporated into the methodology of APSO to further improve the performance. Simulation results show this strategy may provide well balance between exploration and exploitation capabilities.

关键词： particle swarm optimization alignment rule small-world model

作者: Xingjuan Cai

作者单位: Complex System and Computational Intelligence Laboratory, Taiyuan University of Science and Technology, Shanxi, P.R.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）