A clonal selection algorithm for optimization in electromagnetics

Author

Campelo, Felipe ; Guimarães, Frederico G. ; Igarashi, Hajime ; Ramírez, Jaime A.

Author_Institution

Graduate Sch. of Inf. Sci., Hokkaido Univ., Sapporo, Japan

Volume

41

Issue

5

fYear

2005

fDate

5/1/2005 12:00:00 AM

Firstpage

1736

Lastpage

1739

Abstract

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.

Keywords

electromagnetic devices; optimisation; artificial immune systems; electromagnetic design optimization; genetic algorithm; mutation range; optimal solution; real electromagnetic problem; real-coded clonal selection algorithm; Algorithm design and analysis; Cloning; Design optimization; Electromagnetics; Gaussian noise; Genetic algorithms; Immune system; Informatics; Pattern recognition; Testing; Artificial immune systems; electromagnetic design optimization;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/TMAG.2005.846043

Filename

1430953