基于改进粒子群算法的桁架结构优化设计  

Optimal design of truss structure based on the improved particle swarm optimization algorithm

作　　者：李沛豪[1] 李东 LI Pei-hao;LI Dong(College of Civil Engineering and Architecture,Zhejiang University of Technology,Hangzhou 310014,China)

机构地区：[1]浙江工业大学建筑工程学院

出　　处：《空间结构》2018年第4期16-22,共7页Spatial Structures

基　　金：国家自然科学基金项目(51008281)

摘　　要：为进行桁架结构截面优化设计,首先构建桁架结构模型;然后选取从惯性权重取值、速度更新方式、位置更新方式等方面改进的粒子群算法对桁架结构模型进行优化;最后对平面52杆和空间25杆两个经典桁架结构优化问题进行求解,并将得到的结果与相关文献进行比较.数值结果表明:改进后的粒子群算法收敛速度较快,求解质量较优,算法稳定性较好,实现了改进粒子群算法在桁架结构优化设计中的具体应用,为桁架结构优化设计提供了一种切实可行的方法.In order to optimize truss structure in cross section,the optimization model for truss structure is built in the beginning.Then,the particle swarm algorithm,improved from the inertia weight value,the speed update method and the location update methodm,is employed to optimize the model of truss structure.The optimization problems of two classical truss structures are solved for the 52-bar planar truss and the 25-bar space truss,and the results are compared with corresponding references.Numerical results show that the improved particle swarm algorithm can possess faster convergence rate,gain better solution quality and excel in stability,which realizes the application of improved particle swarm in the optimization of truss structure and provides a practical and feasible method for the optimization of truss structure.

关 键 词：粒子群算法 桁架结构 结构优化 惯性权重 邻域搜索 

分 类 号：TU323.4[建筑科学—结构工程]