An adaptive penalty scheme for genetic algorithms in structural optimization

被引：124

作者：

Lemonge, ACC

Barbosa, HJC

机构：

[1] MCT, LNCC, BR-25651070 Petropolis, RJ, Brazil

[2] Univ Fed Juiz Fora, Fac Engn, Dept Estruturas, BR-36036330 Juiz De Fora, MG, Brazil

来源：

INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING | 2004年 / 59卷 / 05期

关键词：

penalty methods; genetic algorithms; structural optimization;

D O I：

10.1002/nme.899

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

A parameter-less adaptive penalty scheme for genetic algorithms applied to constrained optimization problems is proposed. Using feedback from the evolutionary process the procedure automatically defines a penalty parameter for each constraint. The user is thus relieved from the burden of having to determine sensitive parameter(s) when dealing with every new constrained optimization problem. The procedure is shown to be effective and robust when applied to test problems from the evolutionary computation literature as well as several optimization problems from the structural engineering literature. Copyright (C) 2003 John Wiley Sons, Ltd.

引用

页码：703 / 736

页数：34

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