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粒子群算法在重载齿轮多目标设计中的应用
引用本文:马纲,李盘荣,陈晓舟.粒子群算法在重载齿轮多目标设计中的应用[J].洛阳工业高等专科学校学报,2009,19(2).
作者姓名:马纲  李盘荣  陈晓舟
作者单位:江苏城市职业学院,江苏,无锡,214011
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.

关 键 词:粒子群算法  多目标优化设计  重载齿轮

Application of PSO Algorithm to Multi-objective Design of Heavy-duty Gear
MA Gang,LI Pan-rong,CHEN Xiao-hou.Application of PSO Algorithm to Multi-objective Design of Heavy-duty Gear[J].Journal of Luoyang Technology College,2009,19(2).
Authors:MA Gang  LI Pan-rong  CHEN Xiao-hou
Institution:Jiangsu Municipal Vocation College;Wuxi 214021;China
Abstract: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 on PSO.The results of experiments prove PSO to be a more effective and faster method for multi-objective optimal design of the heavy-duty gear transmission.
Keywords:PSO algorithm  Multi-objective optimization design  Heavy-duty gear  
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