An improved PSO method with application to multimodal functions of inverse problems

被引：21

作者：

Ho, S. L. ^{[1
]}

Yang, S. Y.

Ni, G. Z.

Wong, K. F.

机构：

[1] Hong Kong Polytech Univ, Dept Elect Engn, Hong Kong, Hong Kong, Peoples R China

[2] Zhejiang Univ, Coll Elect Engn, Hangzhou 310027, Peoples R China

来源：

IEEE TRANSACTIONS ON MAGNETICS | 2007年 / 43卷 / 04期

关键词：

design optimization; evolutionary algorithm; global optimal method; particle swarm optimization (PSO) method;

D O I：

10.1109/TMAG.2006.892108

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Improvements that use new formulas and strategies for updating the particles' velocity and position, craziness, adaptive velocity adjustment scheme, and the use of a simple refinement searching scheme and so on are proposed on particle swarm optimization (PSO) methods to enhance their performances. Numerical results are given to validate the feasibility and to demonstrate the merits of the proposed method.

引用

页码：1597 / 1600

页数：4

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