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
收藏
页码：1069 / 1084
页数：16
相关论文
共 50 条
  • [31] Hybrid constrained simulated annealing and genetic algorithms for nonlinear constrained optimization
    Wah, BW
    Chen, YX
    PROCEEDINGS OF THE 2001 CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1 AND 2, 2001, : 925 - 932
  • [32] Comparative study of simulated annealing, genetic algorithms and tabu search for solving binary and comprehensive machine-grouping problems
    Zolfaghari, S
    Liang, M
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2002, 40 (09) : 2141 - 2158
  • [33] Development of subsystems for solving optimization problems with the help of genetic algorithms
    Teslyuk, V. M.
    Kryvyy, R. Z.
    Teslyuk, T. M.
    AlOmari, Tariq Ali
    EXPERIENCE OF DESIGNING AND APPLICATION OF CAD SYSTEMS IN MICROELECTRONICS, 2009, : 364 - 364
  • [34] GENETIC ALGORITHMS FOR SOLVING MIXED-DISCRETE OPTIMIZATION PROBLEMS
    WU, SJ
    CHOW, PT
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 1994, 331B (04): : 381 - 401
  • [35] Efficient genetic algorithms for solving hard constrained optimization problems
    Sareni, B
    Krähenbühl, L
    Nicolas, A
    IEEE TRANSACTIONS ON MAGNETICS, 2000, 36 (04) : 1027 - 1030
  • [36] Development of a Robust Multiobjective Simulated Annealing Algorithm for Solving Multiobjective Optimization Problems
    Sankararao, B.
    Yoo, Chang Kyoo
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2011, 50 (11) : 6728 - 6742
  • [37] Solving Combinatorial Optimization Problems Using Augmented Lagrange Chaotic Simulated Annealing
    Wang, Lipo
    Tian, Fuyu
    Soong, Boon Hee
    Wan, Chunru
    DIFFERENTIAL EQUATIONS AND DYNAMICAL SYSTEMS, 2011, 19 (1-2) : 171 - 179
  • [38] Improved Salp Swarm Algorithm with Simulated Annealing for Solving Engineering Optimization Problems
    Duan, Qing
    Wang, Lu
    Kang, Hongwei
    Shen, Yong
    Sun, Xingping
    Chen, Qingyi
    SYMMETRY-BASEL, 2021, 13 (06):
  • [39] Limits and Performances of Algorithms Based on Simulated Annealing in Solving Sparse Hard Inference Problems
    Angelini, Maria Chiara
    Ricci-Tersenghi, Federico
    PHYSICAL REVIEW X, 2023, 13 (02)
  • [40] A Genetic and Simulated Annealing Based Algorithms for Solving the Flow Assignment Problem in Computer Networks
    Mahmoud, Tarek M.
    PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 21, 2007, 21 : 360 - 366
12345