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
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