DocumentCode
1429374
Title
Niching genetic algorithms for optimization in electromagnetics. II. Shape optimization of electrodes using the CSM
Author
Sareni, B. ; Krahenbuhl, L. ; Muller, D.
Author_Institution
CEGELY, Ecole Centrale de Lyon, Ecully, France
Volume
34
Issue
5
fYear
1998
fDate
9/1/1998 12:00:00 AM
Firstpage
2988
Lastpage
2991
Abstract
For pt.I see ibid., vol.34, no.5, pp.2984-7 (1998). In this paper, we present a new approach for automatic design of electrodes. The investigated method consists in identifying an optimal shape from an optimal equipotential resulting from a system of point charges. The electric field and potential are computed using the point charge simulation method. Niching genetic algorithms and constrained optimization techniques are applied to the electrode benchmark in order to find multiple optimal profiles
Keywords
electrodes; genetic algorithms; CSM; automatic design; charge simulation method; constrained optimization; electric field; electric potential; electrode shape; electromagnetics; niching genetic algorithm; Character generation; Computational modeling; Constraint optimization; Design optimization; Electric potential; Electrodes; Electromagnetics; Genetic algorithms; Process design; Shape;
fLanguage
English
Journal_Title
Magnetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9464
Type
jour
DOI
10.1109/20.717698
Filename
717698
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