Niching genetic algorithms for optimization in electromagnetics - II. Shape optimization of electrodes using the CSM - Archive ouverte HAL
Article Dans Une Revue IEEE Transactions on Magnetics Année : 1998

Niching genetic algorithms for optimization in electromagnetics - II. Shape optimization of electrodes using the CSM

Résumé

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.
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Dates et versions

hal-00140673 , version 1 (20-04-2007)

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  • HAL Id : hal-00140673 , version 1

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Bruno Sareni, Laurent Krähenbühl, Daniel Muller. Niching genetic algorithms for optimization in electromagnetics - II. Shape optimization of electrodes using the CSM. IEEE Transactions on Magnetics, 1998, 34 (5 Part 1), pp.2988-2991. ⟨hal-00140673⟩
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