本文针对综合面试中的分组问题,首先分析了分组对综合面试结果的影响,提出了均衡分组的思想;在此基础上,提出了综合面试中的均衡分组方法,该方法构建了双目标优化模型,并开发了一个求解问题的遗传算法,该算法还可以解决一类分组问题;最后,给出算例说明方法的应用及可行性。 In this paper, we focus on the problem of grouping in comprehensive interview, first analyze the effect of grouping on comprehensive interview results and propose the idea of ​​equalization grouping. On the basis of this, we propose a balanced grouping method in comprehensive interview, which builds a two-objective optimization model , And developed a genetic algorithm to solve the problem. The algorithm can also solve a class of grouping problem. Finally, the application and feasibility of the example description method are given.