Niching genetic algorithm adopting restricted competition selection combined with pattern search method

Author

Kim, Jae-Kwang ; Cho, Dong-Hyeok ; Jung, Hyun-Kyo ; Lee, Cheol-Gyun

Author_Institution

Sch. of Electr. Eng., Seoul Nat. Univ., South Korea

Volume

38

Issue

2

fYear

2002

fDate

3/1/2002 12:00:00 AM

Firstpage

1001

Lastpage

1004

Abstract

Among several niching methods, the restricted competition selection (RCS) method searches almost all the location of multiple solutions in the search space. This paper proposes a neo-niching method using the RCS method combined with pattern search method to reduce the calculation time. Through application to the numerical examples and optimal design of interior permanent magnet synchronous motor, it is verified that the proposed method searches the peaks fast and is appropriate for the design of electric machines

Keywords

electric machine CAD; genetic algorithms; permanent magnet motors; synchronous motors; RCS method; calculation time; electric machine design; interior permanent magnet synchronous motor; multiple solutions; neo-niching method; niching genetic algorithm; optimal design; pattern search method; restricted competition selection; search space; Ecosystems; Electric machines; Electromagnetic devices; Genetic algorithms; Permanent magnet motors; Search methods; Shape; Stochastic processes;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/20.996257

Filename

996257