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中国管理科学 ›› 2014, Vol. 22 ›› Issue (8): 123-129.

• 论文 • 上一篇    下一篇

综合面试中的均衡分组方法

陈媛1, 樊治平2, 谢美萍1   

  1. 1. 上海财经大学信息管理与工程学院, 上海 200433;
    2. 东北大学工商管理学院, 沈阳 辽宁 110819
  • 收稿日期:2012-11-11 修回日期:2013-06-29 出版日期:2014-08-20 发布日期:2014-08-23
  • 作者简介:陈媛(1976- ),女(汉族),辽宁鞍山市人,上海财经大学信息管理与工程学院,副教授,博士,研究方向:建模与优化、管理决策分析.
  • 基金资助:

    国家自然科学基金青年基金资助项目(71371115,71001058,61003022);教育部高等学校博士点专项科研基金资助项目(20100078120003);中国博士后特别资助基金资助项目(201104249)

A Method of Equivalence Grouping for Comprehensive Interview

CHEN Yuan1, FAN Zhi-ping2, XIE Mei-ping1   

  1. 1. Department of Information Management and Engineering, Shanghai University of Finance & Economics, Shanghai 200433, China;
    2. School of Business Administration, Northeastern University, Shenyang 110004, China
  • Received:2012-11-11 Revised:2013-06-29 Online:2014-08-20 Published:2014-08-23

摘要: 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。

关键词: 综合面试, 均衡分组, 双目标模型, 遗传算法

Abstract: Comprehensive interview is becoming a common form in most recruitment. How to make the structure of interview group fair and reasonable is very important. In this paper, the effects of grouping on interview results for comprehensive interview are firstly analyzed. Then, the idea of equivalence grouping is proposed that the structure of each group is as same as possible. After that, a double objective model is constructed. Further, a genetic algorithm is proposed to solve the model according to the characteristics of the grouping problem. The proposed genetic algorithm can also be used to solve a class of grouping problems. Finally, a numerical example is provided to illustrate the applications of the proposed method.

Key words: comprehensive interview, equivalence grouping, double objective model, genetic algorithm

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