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基于粒子群算法的桁架结构优化
引用本文:闫续,左勇志,霍达.基于粒子群算法的桁架结构优化[J].钢结构,2012,27(7):37-39.
作者姓名:闫续  左勇志  霍达
作者单位:1. 北京工业大学建筑工程学院,北京,100124
2. 北京市建筑工程研究院,北京,100039
3. 北京工业大学建筑工程学院,北京100124;北京工业大学城市与工程安全减灾教育部重点实验室,北京 100124
摘    要:粒子群算法(PSO)是一种基于种群智能的优化算法。由于其具有快速收敛和操作简单等特点,粒子群算法在工程、经济管理等诸多领域均得到广泛应用,成为近年来智能计算领域研究的新热点。首先介绍粒子群算法,进而提出对于惯性权重进行线性变化。利用改进的粒子群算法对实际工程桁架结构进行尺寸优化以提高经济效益,并提出合理的参数设置。数据对比分析结果表明,改进的粒子群算法对于桁架结构尺寸优化设计是可行的。

关 键 词:粒子群算法  桁架  尺寸优化  惯性权重

OPTIMAL DESIGN OF TRUSS STRUCTURE BASED ON PSO ALGORITHM
Yan Xu , Zuo Yongzhi , Huo Do.OPTIMAL DESIGN OF TRUSS STRUCTURE BASED ON PSO ALGORITHM[J].Steel Construction,2012,27(7):37-39.
Authors:Yan Xu  Zuo Yongzhi  Huo Do
Affiliation:1,3 (1.College of Architecture and Civil Engineering,Beijing University of Technology,Beijing 100124,China; 2.Beijing Building Construction Research Institute,Beijing 100039,China;3.The Key Laboratory of Urban Security and Disaster Engineering,Ministry of Education,Beijing University of Technology,Beijing 100124,China)
Abstract:The particle swarm optimization(PSO)is a kind of optimization algorithm based on swarm intelligence. The PSO algorithm has been widely used in many fields such as engineering and business management for its fast convergence and simple operation,etc.It has become one of the hottest issues in the intelligence computation recently.After introducing the basic theory of the algorithm in the article,a linear inertia weight changing model is formulated and it has been applied to the size optimization of a truss structure.The numerical example indicates the feasibility of the modified PSO in solving size optimization of truss structure.
Keywords:particle swarm optimization algorithm  truss  size optimization  inertia weight
本文献已被 CNKI 维普 万方数据 等数据库收录!
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