• DocumentCode
    3216492
  • Title

    Applied research on quantum particle swarm algorithm in autogenerating test paper

  • Author

    Xin-ran, Li ; Yan-xia, Jin

  • Author_Institution
    Coll. of Comput. Sci. & Technol., North Univ. of China, Taiyuan, China
  • Volume
    4
  • fYear
    2011
  • fDate
    29-31 July 2011
  • Abstract
    In view of the low efficiency problem of extensively used genetic algorithm in large amount test code algorithm, this paper uses quantum particle swarm algorithm method to solve integer programming. Setting proper parameters and limiting the type and scope of particle position formula, this algorithm can solve large amount test code autogenerating problems. Experiments applying this algorithm have testified that it has stronger optimal ability and speed and better feasibility.
  • Keywords
    genetic algorithms; integer programming; particle swarm optimisation; program compilers; autogenerating test paper; genetic algorithm; integer programming; particle position formula; quantum particle swarm algorithm; test code algorithm; Optimization; Autogenerating test paper; Exam Paper Generating Algorithm; Multi-Objective Optimization; Particle Swarm Optimization; Quantum-behaved Particle Swarm Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics and Optoelectronics (ICEOE), 2011 International Conference on
  • Conference_Location
    Dalian, Liaoning
  • Print_ISBN
    978-1-61284-275-2
  • Type

    conf

  • DOI
    10.1109/ICEOE.2011.6013526
  • Filename
    6013526