• DocumentCode
    3229889
  • Title

    Solving Timetabling Problem Using Genetic and Heuristic Algorithms

  • Author

    Thanh, Nguyen Duc

  • Author_Institution
    Nong Lam Univ., Ho Chi Minh City
  • Volume
    3
  • fYear
    2007
  • fDate
    July 30 2007-Aug. 1 2007
  • Firstpage
    472
  • Lastpage
    477
  • Abstract
    In this paper, we propose a hybrid algorithm that combines genetic and heuristic approach. By using this method, solving timetabling problem is converted to finding the optimal arrangement of elements on a 2D matrix. This algorithm was implemented and tested with the synthetic and real data of Nong lam University of HCM City, Vietnam. The experimental results reveal the usability and potential of the proposed algorithm in solving timetabling problems.
  • Keywords
    genetic algorithms; matrix algebra; scheduling; 2D matrix; genetic algorithm; heuristic algorithm; timetabling problem; Artificial intelligence; Cities and towns; Cooling; Educational institutions; Fuzzy sets; Fuzzy systems; Genetics; Heuristic algorithms; RNA; Software algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-0-7695-2909-7
  • Type

    conf

  • DOI
    10.1109/SNPD.2007.464
  • Filename
    4287899