• DocumentCode
    2236741
  • Title

    The Research on Multi-Strategy Course Scheduling Algorithm

  • Author

    Wang, Xia ; Huang, Lin ; Zou, Qing

  • Author_Institution
    Coll. of Inf. Eng., Northwest A&F Univ., Yangling, China
  • fYear
    2009
  • fDate
    26-28 Dec. 2009
  • Firstpage
    2419
  • Lastpage
    2422
  • Abstract
    The timetabling problem is a NP-complete problem which has been committed to finding a solution by the field of operations research and computer but has not got a good solution. The timetabling is the most important problem in the course scheduling. With the development of disciplines, the change of the size and direction of enrollment, increasing the difficulty of the Course Scheduling. This paper raised a Multi-strategy Course Scheduling Algorithm which based on Greedy Algorithm, Genetic Algorithm and Taboo Search, in order to effectively alleviate the shortage of classroom resources, time conflicts and other issues. The experimental results show that this method is feasible and effective.
  • Keywords
    computational complexity; educational courses; genetic algorithms; greedy algorithms; scheduling; NP-complete problem; Taboo search; classroom resources; genetic algorithm; greedy algorithm; multistrategy course scheduling algorithm; operations research; timetabling problem; Algorithm design and analysis; Decision making; Educational institutions; Genetic algorithms; Greedy algorithms; Information science; NP-complete problem; Operations research; Processor scheduling; Scheduling algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2009 1st International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4909-5
  • Type

    conf

  • DOI
    10.1109/ICISE.2009.1281
  • Filename
    5455690