Genetic Algorithms for Optimization in Electromagnetics I. Fundamentals

Bruno Sareni, Laurent Krähenbühl, A. Nicolas · 1998

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. Index terms-Genetic algorithms, niching methods, sharing, crowding, clearing, shape optimization, magnetizer.

Read the paper · More papers on PaperTik