Niching genetic algorithms for optimization in electromagnetics - I. Fundamentals

被引：36

作者：

Sareni, B ^{[1
]}

Krahenbuhl, L ^{[1
]}

Nicolas, A ^{[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 methods; sharing; crowding; clearing; shape optimization; magnetizer;

D O I：

10.1109/20.717697

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：

Niching methods extend genetic algorithms and permit the investigation of multiple optimal solutions in the search space. In this paper, we review and discuss various strategies of niching for optimization in electromagnetics. Traditional mathematical problems and an electromagnetic benchmark are solved using niching genetic algorithms to show their interest in real world optimization.

引用

页码：2984 / 2987

页数：4

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