• DocumentCode
    3187344
  • Title

    The research and realization of multi-threaded intelligent test paper generation based on genetic algorithm

  • Author

    Shan, Ying

  • Author_Institution
    Sch. of Comput. Sci. & Software Eng., Tianjin Polytech. Univ., Tianjin, China
  • fYear
    2010
  • fDate
    3-5 Dec. 2010
  • Firstpage
    461
  • Lastpage
    464
  • Abstract
    In this paper, a new multi-threaded intelligent strategy of generating test paper based on genetic algorithm is proposed to replace the current test paper generation algorithms that have the disadvantages of lower power, longer time and difficulty in fulfilling the requirements. This algorithm is compared in a number of experiments with the series genetic algorithm and proved to be faster and better. It can be applied in the situations of practical test paper generation.
  • Keywords
    computer aided instruction; genetic algorithms; multi-threading; genetic algorithm; multithreaded intelligent test paper generation; Algebra; Artificial intelligence; Computers; Databases; Genetic algorithms; Instruction sets; Parallel algorithms; genetic algorithm; mathematic model; multi-objective optimization; multi-thread;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Application (ICCIA), 2010 International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-8597-0
  • Type

    conf

  • DOI
    10.1109/ICCIA.2010.6141636
  • Filename
    6141636