中国机械工程Issue(11)：1556-1561,6.DOI:10.3969/j.issn.1004-132X.2014.11.025
基于降维的驾驶员侧约束系统高维目标优化
High-dimensional Obj ective Optimization of Driver Side Restraint System Based on Reduction of Dimension
摘要
Abstract
To solve the problems that each sub-goal cannot reach optimum at the same time when multiple obj ectives were integrated into a single obj ective optimization,and using multi-obj ective ge-netic algorithm for high-dimensional obj ective optimization it was hard to find a representative non-in-feriority Pareto solution,an optimization method coordinated occupant inj ury criteria with multi-ob-j ective evolutionary algorithm was proposed for optimizing the driver side restraint system of a passen-ger car.Based on the existed injury criterion and the latest version of FMVSS 208 and ECE R94,a new inj ury criterion (IC)was proposed for the problems mentioned above.The IC was used to reduce a high-dimensional obj ective optimization problem to a low-dimensional obj ective optimization prob-lem.Sensitivity analysis and experimental design were conducted to get an approximate model,and NSGA-Ⅱ evolutionary algorithm was used to calculate non-inferiority Pareto solution.Then every non-inferiority Pareto solution was put into the inj ufy formula,which ordered in ascending order,to obtain an optimization solution that each sub goal can reach optimum at the same time,meanwhile, the inj ury value was minimum.The optimized results show that high-dimensional optimization prob-lems of occupant restraint system are solved,and the effect of optimization is significant.关键词
乘员约束系统/高维目标/优化/降维/Pareto解集Key words
occupant restraint system/high-dimensional obj ective/optimization/reduction of di-mension/Pareto solution分类
交通工程引用本文复制引用
白中浩,卢静,王玉龙,费敬..基于降维的驾驶员侧约束系统高维目标优化[J].中国机械工程,2014,(11):1556-1561,6.基金项目
国家自然科学基金资助项目(51105137) （51105137）
中央高校基本科研业务费专项资金资助项目(531107040572) （531107040572）
