摘要
为提高车辆零部件的安全性和稳健性,应用可靠性稳健优化设计理论和多目标决策方法,将车辆后桥的可靠性稳健优化设计转化为多目标优化问题。通过模糊多目标粒子群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解集确定零部件的设计规格。实验表明,所提方法能迅速有效地获得可靠性稳健设计的信息。
In order to improve the safety and robustness of vehicle component, the robust optimization design of reliability （RODR） on vehicle rear-axle is transformed into multi-objective optimization problem by the multi-objective decision-making approach and the theory of RODR. The pareto solution-set satisfying all of constraint conditions is given by fuzzy multi-objective particle swarm algorithm. According to the actual situation, the design standard of component is decided by the pareto solution-set. The experiment shows that this approach proposed is quick and effective for obtaining information of RODR.
出处
《机械强度》
EI
CAS
CSCD
北大核心
2007年第5期774-778,共5页
Journal of Mechanical Strength
基金
国家自然科学基金资助项目(50175043)~~
关键词
稳健设计
模糊多目标粒子群算法
随机摄动法
多目标优化
Robust design
Fuzzy particle swarm algorithm
Probabilistic perturbation method
Multi-objective optimization
