UTILIZING GENETIC ALGORITHMS FOR THE OPTIMAL-DESIGN OF ELECTROMAGNETIC DEVICES

被引：74

作者：

ULER, GF

MOHAMMED, OA

KOH, CS

机构：

[1] Department of Electrical & Computer Engineering, Florida International University, Miami, Florida

来源：

IEEE TRANSACTIONS ON MAGNETICS | 1994年 / 30卷 / 06期

关键词：

D O I：

10.1109/20.334066

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A new technique for the design optimization of electromagnetic devices that adopts the Genetic Algorithms (GAs) as the search method is presented. The method is applied to the optimization of the shape of a pole face in an electric motor. The electromagnetic analysis of the devices implemented is performed using 2-D finite elements. The results show an excellent promise and potential of using GAs as an efficient technique for the optimal design problem.

引用

页码：4296 / 4298

页数：3

共 8 条

[1]

Goldberg DE, 1989, GENETIC ALGORITHMS S

[2]

HOLLAND JH, 1975, ADAPTATION NATURAL A

[3]

LUCASIUS CB, 1989, 3RD INT C GEN ALG SA, P170

[4] A DYNAMIC-PROGRAMMING - FINITE-ELEMENT PROCEDURE FOR THE DESIGN OF NONLINEAR MAGNETIC DEVICES [J].