An improved technique for enhancing diversity in Pareto evolutionary optimization of electromagnetic devices

被引：24

作者：

Di Barba, P ^{[1
]}

Farina, M ^{[1
]}

Savini, A ^{[1
]}

机构：

[1] Univ Pavia, Dept Elect Engn, I-27100 Pavia, Italy

来源：

COMPEL-THE INTERNATIONAL JOURNAL FOR COMPUTATION AND MATHEMATICS IN ELECTRICAL AND ELECTRONIC ENGINEERING | 2001年 / 20卷 / 02期

关键词：

electromagnetics; design optimization;

D O I：

10.1108/03321640110383366

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

When a multiobjective optimization problem is tackled using Pareto optima theory, particular care has to be taken to obtain a full sampling of the Pareto Optimal Front. This leads to variability of individuals in both design space and objective space. We compare two different fitness assignment strategies based on two individual sharing procedures in the space domain and in the objective domain on some test cases.

引用

页码：482 / 496

页数：15

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