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.
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页码：1069 / 1084
页数：16
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