Genetic algorithm coupled with a deterministic method for optimization in electromagnetics

Author

Vasconcelos, J.A. ; Saldanha, R.R. ; Krähenbühl, L. ; Nicolas, A.

Author_Institution

Dept. of Electr. Eng., UFMG, Brazil

Volume

33

Issue

2

fYear

1997

fDate

3/1/1997 12:00:00 AM

Firstpage

1860

Lastpage

1863

Abstract

In this paper, a hybrid technique for global optimization based on the genetic algorithm and a deterministic method is presented. A potential advantage of the hybrid method compared to the genetic algorithm is that global optimization can be performed more efficiently. An intrinsic problem of the hybrid techniques is related to the moment of stopping the stochastic routine to launch the deterministic one. This is investigated using some natural criteria for the commutation between the two methods. The results show that it is possible to gain in efficiency and in accuracy but the criterion is usually problem dependent. Finally, to show the solution of a real problem, the hybrid algorithm is coupled to a 2D code based on the boundary element method to optimize a connector of 145 kV GIS

Keywords

electric connectors; gas insulated switchgear; genetic algorithms; power engineering; power engineering computing; 2D cod; 415 kV; GIS; accuracy; boundary element method; commutation criteria; deterministic method; efficiency; electromagnetics; genetic algorithm; global optimization; hybrid algorithm; hybrid method; hybrid technique; stochastic routine; Binary codes; Books; Cams; Character generation; Electromagnetic coupling; Genetic algorithms; Genetic mutations; Load flow; Machine learning; Optimization methods;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/20.582645

Filename

582645