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
Link To Document :
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