DocumentCode
1541773
Title
A few results for using genetic algorithms in the design of electrical machines
Author
Wurtz, F. ; Richomme, M. ; Bigeon, J. ; Sabonnadiere, J.C.
Author_Institution
Lab. d´´Electrotech. de Grenoble, CNRS, St. Martin d´´Heres, France
Volume
33
Issue
2
fYear
1997
fDate
3/1/1997 12:00:00 AM
Firstpage
1892
Lastpage
1895
Abstract
Genetic algorithms (GAs) seem to be attractive for the design of electrical machines but their main difficulty is in finding a configuration so that they are efficient. This paper exposes a criterion and a methodology which the authors have developed in order to find efficient configurations. The first configuration they obtained is then detailed. The results based on this configuration are detailed, together with an example of a design problem
Keywords
design engineering; electric machines; genetic algorithms; machine theory; criterion; efficient configurations; electrical machine design; genetic algorithms; methodology; Algorithm design and analysis; Biological information theory; Constraint optimization; Design optimization; Encoding; Genetic algorithms; Genetic mutations; Optimal control; Probability; Testing;
fLanguage
English
Journal_Title
Magnetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9464
Type
jour
DOI
10.1109/20.582656
Filename
582656
Link To Document