中文摘要：

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 parcle swarmoptimization，CLP-SO）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．

英文摘要：

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.