Solving structural optimization problems with genetic algorithms and simulated annealing

被引：0

作者：

Botello, S

Marroquin, JL

Oñate, E

Van Horebeek, J

机构：

[1] Univ Politecn Cataluna, Int Ctr Numer Methods Engn, ETS Ingn Caminos Canales & Puertos, Barcelona 08034, Spain

[2] Ctr Invest Matemat, Guanajuato 36000, Gto, Mexico

[3] Univ Guanajuato, Fac Ingn Civil, Guanajuato 36000, Gto, Mexico

来源：

INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING | 1999年 / 45卷 / 08期

关键词：

structural optimization; genetic algorithms; simulated annealing; bar structures;

D O I：

10.1002/(SICI)1097-0207(19990720)45:8<1069::AID-NME620>3.0.CO;2-E

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

In this paper we study the performance of two stochastic search methods: Genetic Algorithms and Simulated Annealing, applied to the optimization of pin-jointed steel bar structures. We show that it is possible to embed these two schemes into a single parametric family of algorithms, and that optimal performance (in a parallel machine) is obtained by a hybrid scheme. Examples of applications to the optimization of several real steel bar structures are presented. Copyright (C) 1999 John Wiley & Sons, Ltd.

引用

页码：1069 / 1084

页数：16

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