A self-adaptive niching genetic algorithm for multimodal optimization of electromagnetic devices

Author

Dilettoso, Emanuele ; Salerno, Nunzio

Author_Institution

Dipt. di Ingegneria Elettrica Elettronica, Universita degli Studi di Catania

Volume

42

Issue

4

fYear

2006

fDate

4/1/2006 12:00:00 AM

Firstpage

1203

Lastpage

1206

Abstract

A new niching genetic algorithm (NGA) called self-adaptive NGA (SANGA) is proposed. The main innovation is that the niche radius is estimated as an additional variable of the optimization problem and is not assigned a priori, as is usually done in other standard NGAs. SANGA, coupled with the deterministic pattern search method, forms a hybrid optimization method which works well in the optimization of multimodal functions and in the design of electromagnetic devices

Keywords

electromagnetic devices; genetic algorithms; search problems; SANGA; deterministic pattern search method; electromagnetic devices; multimodal optimization; self-adaptive niching genetic algorithm; Cost function; Design optimization; Electromagnetic coupling; Electromagnetic devices; Finite element methods; Genetic algorithms; Optimization methods; Search methods; Stochastic processes; Technological innovation; Electromagnetic devices; finite element method (FEM); genetic algorithms; optimization methods;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/TMAG.2006.871672

Filename

1608428