Particle swarm optimizer, ant colony strategy and harmony search scheme hybridized for optimization of truss structures

被引：338
|
作者：
Kaveh, A. [1 ]
Talatahari, S. [2 ]
机构：
[1] Iran Univ Sci & Technol, Ctr Excellence Fundamental Studies Struct Engn, Tehran 16, Iran
[2] Univ Tabriz, Dept Civil Engn, Tabriz, Iran
来源：
COMPUTERS & STRUCTURES | 2009年 / 87卷 / 5-6期
基金：
美国国家科学基金会;
关键词：
Ant colony optimization; Harmony search; Particle swarm optimization; Passive congregation; Truss structures design; Size optimization; GENETIC ALGORITHM; FORCE METHOD; DESIGN;
D O I：
10.1016/j.compstruc.2009.01.003
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
A heuristic particle swarm ant colony optimization (HPSACO) is presented for optimum design of trusses. The algorithm is based on the particle swarm optimizer with passive congregation (PSOPC), ant colony optimization and harmony search scheme. HPSACO applies PSOPC for global optimization and the ant colony approach is used to update positions of particles to attain the feasible solution space. HPSACO handles the problem-specific constraints using a fly-back mechanism, and harmony search scheme deals with variable constraints. Results demonstrate the efficiency and robustness or HPSACO, which performs better than the other PSO-based algorithms having higher converges rate than PSO and PSOPC. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码：267 / 283
页数：17
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