中文摘要：

在满足工况要求的基础上，为使下质体振幅为小量，对振动机的动力参数进行多目标优化。结合反共振振动机的特点，提出了列表参数集遗传算法，该算法将由某一目标所得的参数集以列表形式表示，继而只对各参数的编号进行编码进行遗传优化。同时，使用对标准遗传算法中的交叉操作的改进方式，扩大了每一代的搜索范围，提高了收敛速度。利用所提算法对反共振振动机的动力参数进行了优化，优化结果满足要求且说明算法使有效和实用的。

英文摘要：

The anti-resonant vibration machine（ARVM） can effectively decrease the force to the base. Because the amplitude of down-body must be small and the multi-objective optimization of dynamical parameters is important to ARVM. According to the characteristic of ARVM, the list parameters aggregation genetic algorithm is presented. In this new genetic algorithm, the parameters obtained from one of optimal objective are listed, and the serial number of every parameter is coded, and the genetic algorithm is based on the coded serial number. At the same time, the improved crossover operation is used to enlarge the search space and increase the convergence rate The novel algorithm is applied to the optimization design of the ARVM, the results show that the algorithm is effective and practical.