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
fDate :
9/1/1998 12:00:00 AM
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;
Journal_Title :
Magnetics, IEEE Transactions on
