DocumentCode
954135
Title
An emigration genetic algorithm and its application to multiobjective optimal designs of electromagnetic devices
Author
Wang, Yuhuai ; Yang, Shiyou ; Ni, Guangzheng ; Ho, S.L. ; Liu, Z.J.
Author_Institution
Electr. Eng. Coll., Zhejiang Univ., Hangzhou, China
Volume
40
Issue
2
fYear
2004
fDate
3/1/2004 12:00:00 AM
Firstpage
1240
Lastpage
1243
Abstract
The emigration genetic algorithm, which is a genetic-based algorithm, is proposed to obtain the Pareto optimal solution of vector optimal designs of electromagnetic devices. The proposed algorithm differs from the traditional ones in its design of an emigration operator as well as the inclusion of some useful approaches such as the fitness sharing, clustering, and elitism strategy. Detailed numerical results on three different multiobjective design problems are reported to demonstrate the effectiveness and advantages of the proposed algorithm for solving practical engineering multiobjective optimal design problems.
Keywords
design; electromagnetic devices; genetic algorithms; numerical analysis; optimisation; Pareto optimal solution; clustering strategy; electromagnetic devices; elitism strategy; emigration genetic algorithm; fitness sharing strategy; genetic-based algorithm; multiobjective optimal designs; numerical method; vector optimal designs; vector optimization; Algorithm design and analysis; Cities and towns; Clustering algorithms; Convergence; Design engineering; Electromagnetic devices; Evolutionary computation; Genetic algorithms; Maintenance engineering; Optimization methods;
fLanguage
English
Journal_Title
Magnetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9464
Type
jour
DOI
10.1109/TMAG.2004.824780
Filename
1284644
Link To Document