Niching genetic algorithms for optimization in electromagnetics - II. Shape optimization of electrodes using the CSM

被引：11

作者：

Sareni, B ^{[1
]}

Krahenbuhl, L ^{[1
]}

Muller, D ^{[1
]}

机构：

[1] Ecole Cent Lyon, CNRS, UPRESA 5005, CEGELY, F-69131 Ecully, France

来源：

IEEE TRANSACTIONS ON MAGNETICS | 1998年 / 34卷 / 05期

关键词：

genetic algorithms; niching; shape optimization; constrained optimization; penalty techniques; electrodes; charge simulation method;

D O I：

10.1109/20.717698

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：

In this paper, we present a new approach for automatic design of electrodes. The investigated method consists in identifying an optimal shape from an optimal equipotential resulting from a system of point charges. The electric field and potential are computed using the point charge simulation method. Niching genetic algorithms and constrained optimization techniques are applied to the electrode benchmark in order to find multiple optimal profiles.

引用

页码：2988 / 2991

页数：4

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