DocumentCode
1176803
Title
A Distributed Clonal Selection Algorithm for Optimization in Electromagnetics
Author
Batista, L. ; Guimarães, Frederico G. ; Ramírez, Jaime A.
Author_Institution
Dept. de Eng. Eletr., Univ. Fed. de Minas Gerais, Belo Horizonte
Volume
45
Issue
3
fYear
2009
fDate
3/1/2009 12:00:00 AM
Firstpage
1598
Lastpage
1601
Abstract
This paper proposes the real-coded distributed clonal selection algorithm (DCSA) for use in electromagnetic design optimization. This algorithm employs different types of probability distributions for the mutation of the clones. In order to illustrate the efficiency of this algorithm in practical optimization problems, we compare the results obtained by DCSA with other immune and genetic algorithms over analytical problems and for the TEAM Workshop Problem 22 for the 3 and 8 variables versions. The results indicate that the DCSA is a suitable optimization tool in terms of accuracy and performance.
Keywords
artificial immune systems; computational electromagnetics; distributed algorithms; genetic algorithms; statistical distributions; electromagnetic design optimization; genetic algorithms; immune algorithms; mutation; probability distributions; real-coded distributed clonal selection algorithm; 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.2009.2012752
Filename
4787383
Link To Document