Title :
Niching genetic algorithm with restricted competition selection for multimodal function optimization
Author :
Lee, Cheol-Gyun ; Cho, Dong-Hyeok ; Jung, Hyun-Kyo
Author_Institution :
Dept. of Electr. Eng., Dong-Eui Univ., South Korea
fDate :
5/1/1999 12:00:00 AM
Abstract :
The niching method enables the genetic algorithm to be applied to the problems that require the location of multiple solutions in the search space. In this paper, a new niching method using restricted competition selection (RCS) is proposed to identify and search multiple niches (peaks) efficiently in a multimodal domain. To verify its validity, the proposed method is applied to some traditional mathematical problems and an induction motor design
Keywords :
genetic algorithms; induction motors; machine theory; induction motor design; mathematical problems; multimodal domain; multimodal function optimization; multiple niches searching; niching genetic algorithm; restricted competition selection; Electromagnetic devices; Genetic algorithms; Induction motors; Maintenance; Manufacturing; Optimization methods; Organisms; Shape; Stator windings; Transient analysis;
Journal_Title :
Magnetics, IEEE Transactions on