GROUP SEARCH OPTIMIZATION FOR DESIGN OF SPACE TRUSSES

被引：0
|
作者：
Liu, Feng [1 ]
Xu, Xiao-Tong [1 ]
Li, Li-Juan [1 ]
机构：
[1] Guangdong Univ Technol, Fac Construct Engn, Guangzhou 510006, Guangdong, Peoples R China
来源：
PROCEEDINGS OF THE TENTH INTERNATIONAL SYMPOSIUM ON STRUCTURAL ENGINEERING FOR YOUNG EXPERTS, VOLS I AND II | 2008年
关键词：
Group search optimization algorithm; Structure optimization; Convergence accuracy; Convergence rate;
D O I：
暂无
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
This paper introduces a novel optimization algorithm, group search optimization (GSO) algorithm. The implementation method of this algorithm is presented in detail. The GSO is used to investigate truss structures with continuous variables and was tested by a planar truss optimization problem. The optimization results were compared with that of the particle swarm optimizer (P.SO), the particle swarm optimizer with passive congregation (PSOPC) and the heuristic particle swarm optimizer (HPSO). Results from the tested case illustrate the ability of the GSO to find the optimal results. Test results show GSO has better convergence rate than that of the PSO and PSOPC, and has the same convergence level as that of HPSO.
引用
收藏
页码：854 / 858
页数：5
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