Cooperative multi-swarms Particle Swarm Optimizer for dynamic environment optimization

Guang Hui Wang*, Jie Chen, Feng Pan

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

3 引用 (Scopus)

摘要

Optimization problem in the dynamic environment is not only to locate a optimum, but track the moving optimum as close as possible. Particle Swarm Optimizer, a kind parallel random optimization method based on swarm intelligence, exhibits good performance for optimization problem. Particles converge at the local place quickly in basic Particle Swarm Optimizer(PSO), led to lose the ability to tracking the dynamic optima. To solve the problem, it's proposed the Cooperative Multi-Swarms Particle Swarm Optimizer(CmSPSO), which can cooperatively reinitialize a portion of particles in each swarm, which the distance between them is less than exclusive radius. Experiments have been made to demonstrate the simplicity and effectiveness, maintained the convergence and enhanced the diversity, and obtained the good effect at tracking the dynamic optima.

源语言英语
主期刊名Proceedings of the 27th Chinese Control Conference, CCC
43-48
页数6
DOI
出版状态已出版 - 2008
活动27th Chinese Control Conference, CCC - Kunming, Yunnan, 中国
期限: 16 7月 200818 7月 2008

出版系列

姓名Proceedings of the 27th Chinese Control Conference, CCC

会议

会议27th Chinese Control Conference, CCC
国家/地区中国
Kunming, Yunnan
时期16/07/0818/07/08

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