Size optimization of space trusses using Big Bang-Big Crunch algorithm

被引：256

作者：

Kaveh, A. ^{[1
]}

Talatahari, S. ^{[2
]}

机构：

[1] Vienna Univ Technol, Inst Mech Mat & Struct, A-1040 Vienna, Austria

[2] Tabriz Univ, Dept Civil Engn, Tabriz, Iran

来源：

COMPUTERS & STRUCTURES | 2009年 / 87卷 / 17-18期

关键词：

Big Bang-Big Crunch; Truss structures design; Size optimization; Sub-Optimization Mechanism; Heuristic algorithms; PARTICLE SWARM OPTIMIZER; OPTIMUM GEOMETRY DESIGN; GENETIC ALGORITHM; STEEL FRAMES; FORCE METHOD; STRUCTURAL OPTIMIZATION; TOPOLOGY OPTIMIZATION; DISCRETE;

D O I：

10.1016/j.compstruc.2009.04.011

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

A Hybrid Big Bang-Big Crunch (HBB-BC) optimization algorithm is employed for optimal design of truss structures. HBB-BC is compared to Big Bang-Big Crunch (BB-BC) method and other optimization methods including Genetic Algorithm, Ant Colony Optimization, Particle Swarm optimization and Harmony Search. Numerical results demonstrate the efficiency and robustness of the HBB-BC method compared to other heuristic algorithms. (C) 2009 Elsevier Ltd. All rights reserved.

引用

页码：1129 / 1140

页数：12

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