Title :
Niching genetic algorithms for optimization in electromagnetics. I. Fundamentals
Author :
Sareni, B. ; Krahenbuhl, L. ; Nicolas, A.
Author_Institution :
CEGELY, Ecole Centrale de Lyon, Ecully, France
fDate :
9/1/1998 12:00:00 AM
Abstract :
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
Keywords :
electromagnetism; genetic algorithms; electromagnetics; niching genetic algorithm; optimization; Benchmark testing; Context modeling; Electromagnetics; Genetic algorithms; Magnetic domains; Optimization methods; Organisms; Shape measurement; Simulated annealing; Stochastic processes;
Journal_Title :
Magnetics, IEEE Transactions on
