Optimization in electromagnetics using the real-coded clonal selection algorithm

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

doi:10.1109/SMCIA.2008.5045941

Optimization in electromagnetics using the real-coded clonal selection algorithm

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

^*Corresponding author for this work

School of Engineering Mathematics and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

1 Citation (Scopus)

Abstract

This work analyzes the Real-coded Clonal Selection Algorithm (RCSA) for mono objective optimization in electromagnetics. This algorithm presents a set of features enabling global search as well as the local improvement of the candidate solutions. An analysis of the sensitivity of the algorithm to its basic parameters shows that it is possible to suggest a basic configuration for the RCSA, narrowing the range of variation of the input parameters and simplifying the use of the algorithm. Results obtained on a test problem show that this algorithm is able to find higher-quality solutions, and also presents fasterconvergence than similar approaches for the problem considered.

Original language	English
Title of host publication	SMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications
Pages	89-94
Number of pages	6
DOIs	https://doi.org/10.1109/SMCIA.2008.5045941
Publication status	Published - 27 Jun 2008
Event	2008 IEEE Conference on Soft Computing on Industrial Applications, SMCia/08 - Muroran, Japan Duration: 25 Jun 2008 → 27 Jun 2008

Publication series

Name	SMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications

Conference

Conference	2008 IEEE Conference on Soft Computing on Industrial Applications, SMCia/08
Country/Territory	Japan
City	Muroran
Period	25/06/08 → 27/06/08

Keywords

Artificial immune systems
Electromagnetics
Optimization and design

Access to Document

10.1109/SMCIA.2008.5045941

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Campelo, F., Guimarães, F. G., Ramírez, J. A., & Igarashi, H. (2008). Optimization in electromagnetics using the real-coded clonal selection algorithm. In SMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications (pp. 89-94). Article 5045941 (SMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications). https://doi.org/10.1109/SMCIA.2008.5045941

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title = "Optimization in electromagnetics using the real-coded clonal selection algorithm",

abstract = "This work analyzes the Real-coded Clonal Selection Algorithm (RCSA) for mono objective optimization in electromagnetics. This algorithm presents a set of features enabling global search as well as the local improvement of the candidate solutions. An analysis of the sensitivity of the algorithm to its basic parameters shows that it is possible to suggest a basic configuration for the RCSA, narrowing the range of variation of the input parameters and simplifying the use of the algorithm. Results obtained on a test problem show that this algorithm is able to find higher-quality solutions, and also presents fasterconvergence than similar approaches for the problem considered.",

keywords = "Artificial immune systems, Electromagnetics, Optimization and design",

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

year = "2008",

month = jun,

day = "27",

doi = "10.1109/SMCIA.2008.5045941",

language = "English",

isbn = "9781424437825",

series = "SMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications",

pages = "89--94",

booktitle = "SMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications",

note = "2008 IEEE Conference on Soft Computing on Industrial Applications, SMCia/08 ; Conference date: 25-06-2008 Through 27-06-2008",

}

Campelo, F, Guimarães, FG, Ramírez, JA & Igarashi, H 2008, Optimization in electromagnetics using the real-coded clonal selection algorithm. in SMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications., 5045941, SMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications, pp. 89-94, 2008 IEEE Conference on Soft Computing on Industrial Applications, SMCia/08, Muroran, Japan, 25/06/08. https://doi.org/10.1109/SMCIA.2008.5045941

Optimization in electromagnetics using the real-coded clonal selection algorithm. / Campelo, Felipe; Guimarães, Frederico G.; Ramírez, Jaime A. et al.
SMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications. 2008. p. 89-94 5045941 (SMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications).

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

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T1 - Optimization in electromagnetics using the real-coded clonal selection algorithm

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AU - Guimarães, Frederico G.

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AU - Igarashi, Hajime

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AB - This work analyzes the Real-coded Clonal Selection Algorithm (RCSA) for mono objective optimization in electromagnetics. This algorithm presents a set of features enabling global search as well as the local improvement of the candidate solutions. An analysis of the sensitivity of the algorithm to its basic parameters shows that it is possible to suggest a basic configuration for the RCSA, narrowing the range of variation of the input parameters and simplifying the use of the algorithm. Results obtained on a test problem show that this algorithm is able to find higher-quality solutions, and also presents fasterconvergence than similar approaches for the problem considered.

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KW - Optimization and design

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SN - 9781424437825

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Campelo F, Guimarães FG, Ramírez JA, Igarashi H. Optimization in electromagnetics using the real-coded clonal selection algorithm. In SMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications. 2008. p. 89-94. 5045941. (SMCia/08 - Proceedings of the 2008 IEEE Conference on Soft Computing on Industrial Applications). doi: 10.1109/SMCIA.2008.5045941

Optimization in electromagnetics using the real-coded clonal selection algorithm

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