中文摘要：

针对当前车辆在行驶过程中座椅振动比较大问题，采取多目标遗传算法对五自由度车辆振动模型进行优化。提出了一个新的多目标遗传算法，同时考虑五自由度车辆振动模型相互冲突的五个函数；建立五自由度车辆振动模型，通过对5个不同目标函数进行优化，分别为座椅加速度、前轮速度、后轮速度、簧载质量和前轮的相对位移及簧栽质量和后轮的相对位移，从这些目标函数中选出不同四对函数用于2-目标优化处理；通过图形展示2-目标优化处理结果，并与以往研究结果形成鲜明对比。优化结果显示，车辆经过地面隆起物时，座椅产生的加速度较小。采用多目标遗传算法对五自由度车辆振动模型优化后，车辆在行驶过程中经过地面障碍物时，座椅振动较小。

英文摘要：

This paper deals with the serious seat vibration problem in vehicle driving process. A multi-objective genetic algorithm was used in the optimization for five--degree of freedom vehicle vibration. Considering the five conflict functions in vibration model, a new multi-objective genetic algorithm was presented. The five-degree of freedom vehicle model was built and the five different objective functions including seat acceleration, forward tire velocity, rear tire velocity, relative displacement between sprung mass and forward tire and relative displacement between sprung mass and rear tire were optimized. Four different pairs of thesefive objective functions have been selected for 2-objective optimization pracesses. The optimization results were presented in graphical means ,and compared with the classical one. The optimization results shown a little seat acceleration when the vehicle over a bump. Using multi-objective genetic algorithm in the optimization for fivedegree of freedom vehicle can reduce the seat vibration when the vehicle is over a road obstacle.