A clonal selection algorithm for optimization in electromagnetics

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

doi:10.1109/TMAG.2005.846043

A clonal selection algorithm for optimization in electromagnetics

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

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	1736-1739
Number of pages	4
Journal	IEEE Transactions on Magnetics
Volume	41
Issue number	5
DOIs	https://doi.org/10.1109/TMAG.2005.846043
Publication status	Published - 1 May 2005

Keywords

Artificial immune systems
Electromagnetic design optimization

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10.1109/TMAG.2005.846043

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title = "A clonal selection algorithm for optimization in electromagnetics",

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 = "Artificial immune systems, Electromagnetic design optimization",

author = "Felipe Campelo and Guimar{\~a}es, {Frederico G.} and Hajime Igarashi and Ram{\'i}rez, {Jaime A.}",

year = "2005",

month = may,

day = "1",

doi = "10.1109/TMAG.2005.846043",

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volume = "41",

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journal = "IEEE Transactions on Magnetics",

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T1 - A clonal selection algorithm for optimization in electromagnetics

AU - Campelo, Felipe

AU - Guimarães, Frederico G.

AU - Igarashi, Hajime

AU - Ramírez, Jaime A.

PY - 2005/5/1

Y1 - 2005/5/1

N2 - 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.

AB - 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.

KW - Artificial immune systems

KW - Electromagnetic design optimization

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U2 - 10.1109/TMAG.2005.846043

DO - 10.1109/TMAG.2005.846043

M3 - Article

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VL - 41

SP - 1736

EP - 1739

JO - IEEE Transactions on Magnetics

JF - IEEE Transactions on Magnetics

IS - 5

ER -

A clonal selection algorithm for optimization in electromagnetics

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Keywords

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IEEE Conference on the Computation of Electromagnetic Fields 2005

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A clonal selection algorithm for optimization in electromagnetics

Abstract

Keywords

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IEEE Conference on the Computation of Electromagnetic Fields 2005

Cite this