粒子群算法在重载齿轮多目标设计中的应用  

Application of PSO Algorithm to Multi-objective Design of Heavy-duty Gear

作　　者：马纲[1] 李盘荣[1] 陈晓舟[1] 

机构地区：[1]江苏城市职业学院,江苏无锡214011

出　　处：《洛阳理工学院学报（自然科学版）》2009年第2期35-38,共4页Journal of Luoyang Institute of Science and Technology：Natural Science Edition

摘　　要：粒子群优化算法是一种基于群智能的优化方法,规则简单,收敛速度快。将此算法应用于重载齿轮的多目标优化设计,建立基于粒子群优化算法的重载齿轮多目标优化设计的数学模型,实践表明可以快速、有效地求得齿轮优化解。Particle Swarm Optimization （PSO） is a new method for Swarm Intelligence optimization, with simple rules and efficacy. The essay introduces PSO to the multi-objective optimal design of the heavy-duty gear transmission, and establishes its mathematical model based multi-objective optimal design on PSO. The results of experiments prove PSO to be a more effective and faster method for of the heavy-duty gear transmission.

关 键 词：粒子群算法 多目标优化设计 重载齿轮 

分 类 号：TH122[机械工程—机械设计及理论]