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文章基本信息

  • 标题:Automatic Test Paper Generation Based on Ant Colony Algorithm
  • 本地全文:下载
  • 作者:Liu, Dan ; Wang, Jianmin ; Zheng, Lijuan
  • 期刊名称:Journal of Software
  • 印刷版ISSN:1796-217X
  • 出版年度:2013
  • 卷号:8
  • 期号:10
  • 页码:2600-2606
  • DOI:10.4304/jsw.8.10.2600-2606
  • 语种:English
  • 出版社:Academy Publisher
  • 摘要:Traditional method of test paper generation is time-consuming, low efficient and low success. In order to improve the success rate of test paper, the paper puts forward an ant colony algorithm of automatic sets method. First, a mathematical model of constraint is built according to the requires of papers, and by using the ant colony algorithm, the optimal solution of grouping is obtained. Simulation results show that, compared with the traditional sets algorithm, the ant colony algorithm improves the efficiency of grouping, increase rate of grouping, and satisfies the current network on-line examination system of real-time higher requirements of grouping.
  • 关键词:test paper generation;ant colony algorithm;mathematical model
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