• DocumentCode
    508986
  • Title

    Real-coded Genetic Algorithm and Application in the Automatic Composing the Test Paper

  • Author

    Yu-Fen, Wang ; Xiao-Juan, Guo

  • Author_Institution
    Sch. of Inf. Eng., Henan Inst. of Sci. & Technol., Xinxiang, China
  • Volume
    1
  • fYear
    2009
  • fDate
    21-22 Nov. 2009
  • Firstpage
    399
  • Lastpage
    402
  • Abstract
    The genetic algorithm is one kind of recent development parallel optimization algorithm, it suitable to solve the problem of automatic composing test paper. But binary-coded genetic algorithm has some disadvantages, such as lower operating speed, precocious convergence and so on. For these flaws, based on real-coded genetic algorithm has been put forward, and has been applied in the automatic composing test paper system of the computer basis, its performance is superior to binary-coded genetic algorithm.
  • Keywords
    computer aided instruction; genetic algorithms; automatic composing test paper system; parallel optimization; real-coded genetic algorithm; Automatic control; Automatic testing; Binary codes; Biological cells; Character generation; Education; Extraterrestrial phenomena; Genetic algorithms; Robot control; System testing; automatic composing test paper; genetic algorithm; real-coded;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
  • Conference_Location
    Nanchang
  • Print_ISBN
    978-0-7695-3859-4
  • Type

    conf

  • DOI
    10.1109/IITA.2009.319
  • Filename
    5368953
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=508986