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

Research output: Chapter in Book/Published conference output › Conference publication

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
Publisher	IEEE
Pages	89-94
Number of pages	6
ISBN (Print)	9781424437825
DOIs	https://doi.org/10.1109/SMCIA.2008.5045941
Publication status	Published - 1 Dec 2008
Event	2008 IEEE Conference on Soft Computing on Industrial Applications, SMCia/08 - Muroran, Japan Duration: 25 Jun 2008 → 27 Jun 2008

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

Cite this

@inproceedings{5e02baff6e7b4abd94f6afa3be1fb19a,

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 = dec,

day = "1",

doi = "10.1109/SMCIA.2008.5045941",

language = "English",

isbn = "9781424437825",

pages = "89--94",

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

publisher = "IEEE",

address = "United States",

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, IEEE, 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

TY - GEN

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

AU - Campelo, Felipe

AU - Guimarães, Frederico G.

AU - Ramírez, Jaime A.

AU - Igarashi, Hajime

PY - 2008/12/1

Y1 - 2008/12/1

N2 - 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.

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.

KW - Artificial immune systems

KW - Electromagnetics

KW - Optimization and design

UR - http://www.scopus.com/inward/record.url?scp=70349283602&partnerID=8YFLogxK

UR - https://ieeexplore.ieee.org/document/5045941

U2 - 10.1109/SMCIA.2008.5045941

DO - 10.1109/SMCIA.2008.5045941

M3 - Conference publication

AN - SCOPUS:70349283602

SN - 9781424437825

SP - 89

EP - 94

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

PB - IEEE

T2 - 2008 IEEE Conference on Soft Computing on Industrial Applications, SMCia/08

Y2 - 25 June 2008 through 27 June 2008

ER -

Optimization in electromagnetics using the real-coded clonal selection algorithm

Abstract

Conference

Keywords

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2008 IEEE Conference on Soft Computing on Industrial Applications, SMCia/08

Cite this

Optimization in electromagnetics using the real-coded clonal selection algorithm

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Activities

2008 IEEE Conference on Soft Computing on Industrial Applications, SMCia/08

Cite this