• DocumentCode
    2709362
  • Title

    Super 14 Rugby Fixture Scheduling Using a Multi-Objective Evolutionary Algorithm

  • Author

    While, Lyndon ; Barone, Luigi

  • Author_Institution
    Sch. of Comput. Sci. & Software Eng., Western Australia Univ.
  • fYear
    2007
  • fDate
    1-5 April 2007
  • Firstpage
    35
  • Lastpage
    42
  • Abstract
    Super 14 Rugby is not only a popular game, but also a hugely profitable business. However, determining a schedule for games in the competition is very difficult, as a number of different, often conflicting, factors must be considered. We propose the use of a multi-objective evolutionary algorithm for deciding such a schedule. We detail the technical details needed to apply a multi-objective evolutionary algorithm to this problem and report on experiments that show the effectiveness of this approach. We compare solutions found by our approach with recent fixtures employed by the organising authority; our results showing significant improvements over the existing solutions
  • Keywords
    evolutionary computation; scheduling; sport; Super 14 Rugby; fixture scheduling; games scheduling; multiobjective evolutionary algorithm; Africa; Australia; Computational intelligence; Computer science; Evolutionary computation; Fans; Fixtures; Injuries; Processor scheduling; Software engineering; Fixture Scheduling; Multi-Objective Evolutionary Algorithm; Super 14;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence in Scheduling, 2007. SCIS '07. IEEE Symposium on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    1-4244-0704-4
  • Type

    conf

  • DOI
    10.1109/SCIS.2007.367667
  • Filename
    4218594