改进粒子群算法在行星传动设计中的应用

Application of Modified Particle Swarm Optimizer in the Planetary Gear Transmission Optimization

介绍了一种改进的粒子群算法。通过动态改变惯性权重,使其随粒子群的位置和目标函数的性质而变化,正确控制搜索的步长,达到增强算法的搜索能力,提高收敛速度,避免陷入局部搜索的目的。将该方法应用于行星齿轮传动优化中取得了良好的效果。

A new particle swarm optimizer was presented.Altering the weight dynamicly according to particle,s positions and objective function,step-lenghts of search were controlled.Therefore,it could improve ability of search and make the rapidty of convergence accelerate and not easy trap the local extreme points.Its good results show to be used for the planetary gear transmission optimization.