An improved particle swarm optimization algorithm mimicking territorial dispute between groups for multimodal function optimization problems

被引：41

作者：

Seo, Jang-Ho ^{[1
]}

Im, Chang-Hwan ^{[2
]}

Kwak, Sang-Yeop ^{[1
]}

Lee, Cheol-Gyun ^{[3
]}

Jung, Hyun-Kyo ^{[1
]}

机构：

[1] Seoul Natl Univ, Sch Elect Engn & Comp Sci, Seoul 151744, South Korea

[2] Yonsei Univ, Dept Biomed Engn, Kangwon Do 220710, South Korea

[3] Dong Eui Univ, Dept Elect Engn, Pusan, South Korea

来源：

IEEE TRANSACTIONS ON MAGNETICS | 2008年 / 44卷 / 06期

关键词：

electromagnetic optimization problems; multi-grouped particle swarm optimization (MGPSO); multimodal function optimization; particle swarm optimization (PSO);

D O I：

10.1109/TMAG.2007.914855

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：

In the present paper, an improved particle swarm optimization (PSO) algorithm for multimodal function optimization is proposed. The new algorithm, named auto-tuning multigrouped PSO (AT-MGPSO) algorithm mimics natural phenomena in ecosystem such as territorial dispute between different group members and immigration of weak groups, resulting in automatic determination of the size of each group's territory and robust convergence. The usefulness of the proposed algorithm is verified by the application to a specially designed test function and a practical electromagnetic optimization problem.

引用

页码：1046 / 1049

页数：4

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