A novel algorithm for multimodal function optimization based on evolution strategy

被引：38

作者：

Im, CH ^{[1
]}

Kim, HK

Jung, HK

Choi, K

机构：

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

[2] Korea Electrotechnol Res Inst, Adv Power Apparatus Grp, Chang Won 641600, South Korea

[3] Kangwon Natl Univ, Kwangwon Do 200701, South Korea

来源：

IEEE TRANSACTIONS ON MAGNETICS | 2004年 / 40卷 / 02期

关键词：

evolution strategy (ES); multimodal function optimization; restricted evolution;

D O I：

10.1109/TMAG.2004.824805

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 this paper, a novel algorithm for multimodal function optimization is proposed, based on the concept of evolution strategy. A new concept, named restricted evolution, shows more improved characteristics than conventional approaches that have been used for multimodal function optimization. The efficiency and usefulness of the proposed method will be verified by the application to various cases including practical optimization problems.

引用

页码：1224 / 1227

页数：4

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