摘要
采用粒子群算法对复合材料机翼结构进行布局优化求解。针对粒子群算法的早熟收敛现象,采用了两种改进措施:根据粒子的浓度变异粒子以增加粒子种群多样性;将变尺度混沌优化方法结合到粒子群算法中用以变异搜索最优粒子。算例结果表明,文中所提优化方法是可行有效的。
By adopting the particle swarm algorithm the optimal solution on the layout of composite material aerofoil structure was carried out. Aiming at the pre-maturing convergence phenomena of particle swarm algorithm two kinds of improved measures has been adopted： to variate the particle in accordance with the consistency of particles so as to increase the variety of particle population, let the variable measured chaos optimization method be coupled on the particle swarm algorithm in order to search in variance the optimal particle. The result of computational example showed that the optimization method mentioned in this paper was feasible and effective.
出处
《机械设计》
CSCD
北大核心
2008年第5期9-11,共3页
Journal of Machine Design
关键词
粒子群算法
复合材料结构
混沌优化
布局优化
particle swarm algorithm
composite material structure
chaos optimization
layout optimization
作者简介
何林涛（1982-），男，四川南充人，硕士研究生，研究方向：飞行器设计、复合材料结构设计及优化。
