基于粒子群算法的机械零件多目标优化设计研究  

Particle swarm optimization algorithm based multi-objective optimization design for spring components

作　　者：万伟民[1] 刘继忠[1] 

机构地区：[1]南昌大学机电工程学院,南昌330031

出　　处：《机械设计与制造》2010年第5期35-37,共3页Machinery Design & Manufacture

基　　金：南昌大学自然科学基金(X03993)

摘　　要：机械零件多目标优化设计是工程设计中常遇到的优化设计问题。提出了一种基于粒子群算法的机械零件多目标优化设计方法与策略,对弹簧零件设计参数进行了多目标优化设计分析。结果表明该方法可用于弹簧参数的多目标优化设计,且计算参数调整简单,应用方便,可根据分目标侧重需要,得到不同分目标偏重的优化设计参数。Multi-objective optimization design of components is a kind of common problems in engineering design.A novel multi-objective optimization method based on Particle Swarm Optimization（PSO）algrithm is designed in which the calculation parameters can be adjusted conveniently and the design parameters for the different weight coefficent sub-objective functions can be accquired easily accorfing to the necessity.

关 键 词：优化设计 机械零件 研究 

分 类 号：TH16[机械工程—机械制造及自动化]