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Solving structural optimization problems with genetic algorithms and simulated annealing
Author(s) -
Botello Salvador,
Marroquin Jose L.,
Oñate Eugenio,
Horebeek Johan Van
Publication year - 1999
Publication title -
international journal for numerical methods in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.421
H-Index - 168
eISSN - 1097-0207
pISSN - 0029-5981
DOI - 10.1002/(sici)1097-0207(19990720)45:8<1069::aid-nme620>3.0.co;2-e
Subject(s) - simulated annealing , computer science , mathematical optimization , genetic algorithm , algorithm , parametric statistics , adaptive simulated annealing , optimization algorithm , scheme (mathematics) , mathematics , statistics , mathematical analysis
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 © 1999 John Wiley & Sons, Ltd.