基于多目标粒子群算法的可靠性稳健优化设计  

Steady optimization design of reliability based on algorithm of multi-objected particle swarm

作　　者：张义民[1] 刘仁云[2] 于繁华[3] 

机构地区：[1]东北大学机械工程与自动化学院,辽宁沈阳110004 [2]吉林大学机械科学与工程学院,吉林长春130025 [3]长春师范学院计算机系,吉林长春130032

出　　处：《机械设计》2006年第1期3-5,27,共4页Journal of Machine Design

基　　金：国家自然科学基金资助项目(50175043)

摘　　要：采用随机摄动法和粒子群算法对车辆零部件进行可靠性稳健优化设计,利用模糊的多目标粒子群优化算法求出所有满足约束性条件的pareto解集,结合实际情况依据pareto解集确定零部件的规格。实验证明,该方法能迅速有效地获得可靠性稳健设计的信息。Adopting the stochastic perturbation method and particle swarm algorithm to carry out reliability steady optimal design, utilizing the fuzzy multl-objective particle swarm optimization method to find out all pareto solution sets that satisfy the constraint conditions, by combining with the practical situation and in accordance with pareto solution sets to determine the specifications of parts and components. It is testified by experiment that this method could rapidly and effectively obtain the information of reliability steady design.

关 键 词：稳健设计 粒子群算法 随机摄动法 多目标优化 模糊 

分 类 号：U463[机械工程—车辆工程] TH123[交通运输工程—载运工具运用工程]