This paper analyzes the impact of the main parameters of the algorithm on the search direction, and analyzes the application of particle swarm optimization algorithm in truss structure optimization design. Particle swarm optimization algorithm and genetic algorithm are used to solve two truss structure optimization design example, the calculated results of the two algorithms are compared, and the calculation results show that under the premise that meet the same accuracy, particle swarm optimization algorithm is more efficient. Therefore, the structure optimization design based on the particle swarm algorithm is practical.%本文分析了该算法的主要参数对搜索方向的影响,并对粒子群优化算法在桁架结构优化设计中的应用进行了分析.利用粒子群优化算法与遗传算法分别对两个桁架结构优化设计算例进行求解,将两种算法的计算结果进行了对比,计算结果表明在满足相同的计算精度的前提下,粒子群优化算法的效率更高.因此,基于粒子群算法的结构优化设计是切实可行的.
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