• DocumentCode
    2461875
  • Title

    Fixture-scheduling for the Australian Football League using a Multi-Objective Evolutionary Algorithm

  • Author

    Barone, Luigi ; While, Lyndon ; Hughes, Paul ; Hingston, Phil

  • Author_Institution
    Univ. of Western Australia, Crawley
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    954
  • Lastpage
    961
  • Abstract
    AFL football is a team sport that entertains millions and contributes a huge amount of money to the Australian economy. Scheduling games in the AFL is difficult, as a number of different, often conflicting, factors must be considered. In this paper, we propose the use of a multi-objective evolutionary algorithm for determining 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. Comparison with actual schedules used in the AFL demonstrates that this approach could make a useful contribution.
  • Keywords
    entertainment; evolutionary computation; scheduling; sport; Australian economy; Australian football league; entertainment; fixture-scheduling game; multiobjective evolutionary algorithm; team sport; Australia; Computer science; Evolutionary computation; Fixtures; Information science; Job shop scheduling; Software engineering; TV; Toy industry; Watches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2006. CEC 2006. IEEE Congress on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-9487-9
  • Type

    conf

  • DOI
    10.1109/CEC.2006.1688413
  • Filename
    1688413