Fixture-scheduling for the Australian Football League using a Multi-objective Evolutionary Algorithm
Document Type
Conference Proceeding
Publisher
IEEE
Faculty
Faculty of Computing, Health and Science
School
School of Computer and Information Science
RAS ID
4820
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.
DOI
10.1109/CEC.2006.1688413
Access Rights
free_to_read
Comments
This is an Author's Accepted Manuscript of: Barone, L., While, L., Hughes, P., & Hingston, P. F. (2006). Fixture-scheduling for the Australian Football League using a Multi-objective Evolutionary Algorithm. Proceedings of 2006 IEEE Congress on Evolutionary Computation. (pp. 954-961). Vancouver, Canada. IEEE. Available here
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