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

Bruno Sareni (1, 2) , Laurent Krähenbühl (1, 3) , Daniel Muller (1)

1 CEGELY - Centre de génie électrique de Lyon
2 LEEI - Laboratoire électrotechnique et électronique industrielle
3 AMPERE - Ampère

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.

Mots clés: genetic algorithms; niching; shape optimization; constrained optimization; penalty techniques; electrodes; charge simulation method

Domaines: Modélisation et simulation; Optimisation et contrôle [math.OC]; Electromagnétisme; Autre

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⟩