• CN：11-2187/TH
• ISSN：0577-6686

›› 2008, Vol. 44 ›› Issue (9): 113-116.

• 论文 •

### 多峰值函数优化的改进粒子群算法

1. 浙江大学机械工程系;嘉兴大学机电工程学院
• 发布日期:2008-09-15

### Multimodal Function Optimization Using an Improved Swarm Optimizer

JIAO Weidong;YANG Shixi;CHANG Yongping;YAN Gongbiao

1. Mechanical Engineering Department, Zhejiang University Mechanical and Electrical Engineering College, Jiaxing University
• Published:2008-09-15

Abstract: In multimodal optimization, convergence of the basic particle swarm optimizer (BPSO) is relatively slow at the late evo- lution. And, particle with the best fitness may fluctuate around the globally-optimal solution, which decreases optimization precision. Therefore, an improved swarm optimizer with controllable velocity factor is proposed. On the basis of the definition of three strategies for velocity control of evolved particles, i.e. the completely random one, the partial controllable one and the completely controllable one, optimization precision and computation expense of the modified optimizers are researched comparatively by using several tracks for optimization with different velocity-changing features. Experiments show that performance of the BPSO algorithm is improved to some extent by these controllable modes for velocity-updating. Especially, those improved swarm optimizers using the completely controllable strategy are not only of high precision, but also of faster convergence, both of which imply their better overall perform-ance in multimodal optimization.