A heuristic particle swarm optimizer for optimization of pin connected structures

被引：285
|
作者：
Li, L. J.
Huang, Z. B.
Liu, F.
Wu, Q. H.
机构：
[1] Guangdong Univ Technol, Fac Construct Engn, Dept Civil Engn, Guangzhou 510006, Peoples R China
[2] Univ Liverpool, Dept Elect Engn & Elect, Liverpool L69 3GJ, Merseyside, England
来源：
COMPUTERS & STRUCTURES | 2007年 / 85卷 / 7-8期
关键词：
particle swarm optimization; passive congregation; harmony search; continuous variables; pin connected structures; size optimization;
D O I：
10.1016/j.compstruc.2006.11.020
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper presents a heuristic particle swarm optimizer (HPSO) for optimum design of pin connected structures. The algorithm is based on the particle swarm optimizer with passive congregation (PSOPC) and a harmony search (HS) scheme. The HPSO algorithm handles the problem-specific constraints using a 'fly-back mechanism' method, and the harmony search scheme deals with the variable constraints. The method is verified and compared with the PSO and PSOPC algorithms used for the designs of five planar and spatial truss structures. The results show that the HPSO algorithm can effectively accelerate the convergence rate and can more quickly reach the optimum design than the two other algorithms. (c) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码：340 / 349
页数：10
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