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.
出处
《佳木斯大学学报（自然科学版）》
CAS
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)
关键词
CLPSO算法
结构优化
桁架结构
尺寸优化
惩罚函数法
CLPSO algorithm
structure optimization
truss structures
size optimization
penalty func-tion method
