粒子群优化算法及其在结构优化设计中的应用

介绍了粒子群优化算法的原理和实现方法,分析了该算法的主要参数对搜索方向的影响。将粒子群优化算 法与遗传算法在优化过程和搜索技术方面进行了对比。利用粒子群优化算法与遗传算法分别对测试函数和桁架结 构优化设计问题进行求解,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,利用粒子群优化算法可求解机翼结构优化设计问题,因此,粒子群算法是一种有效的优 化方法,适用于大型复杂结构优化设计。

Particle Swarm Optimization and Its Application to Structural Optimum Design

One of the evolutionary computation technology, Particle Swarm Optimization (PSO), is investigated in this paper. The principle and implementation of this method are introduced. We analyse the impact of main parameters in PSO upon the search directions of particles. PSO is compared with Genetic Algorithm(GA) in optimizaiton operations and searching techniques. We solve the optimization of test functions and truss structural design via PSO and GA respectively. The results produced by PSO are compared with those produced by GA. It is concluded that PSO is more effective when both algorithms satisfy the same precision in calculation. We also design the wing structure by PSO effectively. Therefore, PSO is an effective optimization tool and suited for optimum design of large-scale complex structure.