UTILIZING HOPFIELD NEURAL NETWORKS AND AN IMPROVED SIMULATED ANNEALING PROCEDURE FOR DESIGN OPTIMIZATION OF ELECTROMAGNETIC DEVICES

被引：4

作者：

MOHAMMED, OA

MERCHANT, RS

ULER, FG

机构：

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

来源：

IEEE TRANSACTIONS ON MAGNETICS | 1993年 / 29卷 / 06期

关键词：

D O I：

10.1109/20.281002

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 method for the design optimization of electromagnetic devices is presented. Improved Simulated Annealing (SA) is used along with the Hopfield neural network (HN) to optimize a solution obtained from a trained multilayered perceptron (MLP). This results in an overall increase in the speed of optimization. Results are presented for two examples which show the effectiveness of the proposed method in obtaining a near optimal solution.

引用

页码：2404 / 2406

页数：3

共 10 条

[1] COMPARATIVE-ANALYSIS OF OPTIMIZATION METHODS FOR MAGNETOSTATICS [J].