期刊
COMPUTERS & STRUCTURES
卷 87, 期 7-8, 页码 435-443出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compstruc.2009.01.004
关键词
Heuristic particle swarm optimization; Discrete variables; Truss structures; Size optimization
资金
- National Natural Science Foundation of China [10772052]
- Natural Science Foundation of Guangdong Province [06104655, 8151009001000042]
A heuristic particle swarm optimizer (HPSO) algorithm for truss structures with discrete variables is presented based on the standard particle swarm optimizer (PSO) and the harmony search (HS) scheme. The HPSO is tested on several truss structures with discrete variables and is compared with the PSO and the particle swarm optimizer with passive congregation (PSOPC), respectively. The results show that the HPSO is able to accelerate the convergence rate effectively and has the fastest convergence rate among these three algorithms. The research shows the proposed HIPSO can be effectively used to solve optimization problems for steel structures with discrete variables. (C) 2009 Elsevier Ltd. All rights reserved.
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