• DocumentCode
    588743
  • Title

    The Research and Implementation of Technology of Generating Test Paper Based on Genetic Algorithm

  • Author

    Shao Ming-Zhu ; Li Wei-Feng ; Du Jing-Yi

  • Author_Institution
    Dept. o f Comput. Sci., Henan Mech. & Electr. Eng. Coll., Xinxiang, China
  • fYear
    2012
  • fDate
    2-4 Nov. 2012
  • Firstpage
    533
  • Lastpage
    536
  • Abstract
    Automatic test paper generation is an important part of examination system. How to improve the test paper generating algorithm and the quality of test paper generating has become an important issue at present. Based on the researches on code tactic, adaptive function, controlling parameters, an improved genetic algorithm is used in the paper. Experiment shows that the improved genetic algorithm could compose test paper more efficiently than traditional algorithms.
  • Keywords
    automatic test pattern generation; educational technology; genetic algorithms; adaptive function; automatic test paper generation; code tactic; controlling parameters; examination system; genetic algorithm; Multimedia communication; Security; Algorithm of generating paper; Automatic test paper generation; Genetic Algorithm; Self-adaptive Genetic Algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Information Networking and Security (MINES), 2012 Fourth International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4673-3093-0
  • Type

    conf

  • DOI
    10.1109/MINES.2012.232
  • Filename
    6405611