DESIGN OPTIMIZATION OF ELECTRICAL MACHINES USING GENETIC ALGORITHMS

被引：48

作者：

ULER, GF

MOHAMMED, OA

KOH, CS

机构：

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

来源：

IEEE TRANSACTIONS ON MAGNETICS | 1995年 / 31卷 / 03期

关键词：

D O I：

10.1109/20.376437

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：

The application of genetic algorithms (GAs) to the design optimization of electromagnetic devices is presented in detail. The method is demonstrated on a magnetizer by optimizing its pole face to obtained the desired magnetic flux density ditribution. The shape of the pole face is constructed from the control points by means of uniform nonrational b-splines.

引用

页码：2008 / 2011

页数：4

共 5 条

[1]

Uler G.F., Mohammed O.A., Koh C.S., Design optimization of electromagnetic devices using genetic algorithms, IEEE Trans. on Mag., (1994)

[2]

Davis L., Handbook of Genetic Algorithms, (1991)

[3]

Koza J.R., Genetic Programming, (1993)

[4]

Goldberg D.E., Genetic Algorithms in Search, Optimization & Machine Learning, (1989)

[5]

Eshelman L.J., Caruana R.A., Schaffer J.D., Biases in the crossover landscape, Proceedings of the Third International Conference on Genetic Algorithms, pp. 10-19, (1989)

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