Niching genetic algorithms for optimization in electromagnetics - I. Fundamentals

Bruno Sareni (1, 2) , Laurent Krähenbühl (1, 3) , Alain Nicolas (1, 3)

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

Niching methods extend genetic algorithms and permit the investigation of multiple optimal solutions in the search space. In this paper, we review and discuss various strategies of niching for optimization in electromagnetics. Traditional mathematical problems and an electromagnetic benchmark are solved using niching genetic algorithms to show their interest in real world optimization.

Mots clés: genetic algorithms; niching methods; sharing; crowding; clearing; shape optimization; magnetizer

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

Bruno Sareni, Laurent Krähenbühl, Alain Nicolas. Niching genetic algorithms for optimization in electromagnetics - I. Fundamentals. IEEE Transactions on Magnetics, 1998, 34 (5 Part 1), pp.2984-2987. ⟨10.1109/20.717697⟩. ⟨hal-00140672⟩