A clonal selection algorithm for optimization in electromagnetic

被引：89

作者：

Campelo, F ^{[1
]}

Guimaraes, FG

Igarashi, H

Ramírez, JA

机构：

[1] Hokkaido Univ, Grad Sch Informat Sci & Technol, Res Grp Informat Syst & Synth, Sapporo, Hokkaido 0600814, Japan

[2] Univ Fed Minas Gerais, Dept Elect Engn, BR-31270010 Belo Horizonte, MG, Brazil

来源：

IEEE TRANSACTIONS ON MAGNETICS | 2005年 / 41卷 / 05期

关键词：

artificial immune systems; electromagnetic design optimization;

D O I：

10.1109/TMAG.2005.846043

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：

This paper proposes the real-coded clonal selection algorithm (RCSA) for use in electromagnetic design optimization. Some features of the algorithm, such as the number of clones, mutation range, and the fraction of the population selected each generation are discussed. The TEAM Workshop problem 22 is investigated, in order to illustrate the performance of the algorithm in a real electromagnetic problem. The results obtained, a set of optimal solutions representing a broader range of options for the designer, are compared with those achieved by a genetic algorithm, showing the efficiency of the RCSA in practical optimization problems.

引用

页码：1736 / 1739

页数：4

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