桁架优化的改进粒子群算法  

A CLPSO Algorithm for Truss Structure Optimization

作　　者：许锐[1] 王泽兴[1] 罗雪[2] 

机构地区：[1]同济大学结构工程与防灾研究所,上海200092 [2]同济大学浙江学院,浙江嘉兴314051

出　　处：《佳木斯大学学报（自然科学版）》2012年第1期1-5,共5页Journal of Jiamusi University：Natural Science Edition

基　　金：国家自然科学基金资助项目(50708076)

摘　　要：为了解决带有应力约束和位移约束的桁架的尺寸优化问题,将一种新型智能优化算法--基于"综合学习策略"的粒子群算法(comprehensive learning particle swarm optimization,CLPSO)应用于桁架结构的优化问题中.首先介绍了CLPSO算法的基本原理,给出了基于CLPSO算法的桁架结构优化设计的数学模型,并对经典桁架结构进行优化,将所得结果与其他优化算法结果进行了比较.分析结果表明了该方法进行结构优化设计的有效性.In order to solve the problem of size optimization of truss structures with stress and displace- ment constraints, a novel intelligent optimization method, comprehensive learning particle swarm optimization （ CLPSO）, was introduced in this paper. The basic principle of CLPSO algorithm was presented in detail first, and then mathematical model for size optimization of truss structures is presented. Several classical problems were solved for size optimization. The results were compared with those using other optimization methods. The effec- tiveness of the proposed method was evaluated through numerical analysis.

关 键 词：CLPSO算法 结构优化 桁架结构 尺寸优化 惩罚函数法 

分 类 号：TU323.4[建筑科学—结构工程] TP311[自动化与计算机技术—计算机软件与理论]