Document Type

Conference Proceeding

Publisher

IEEE

Faculty

Computing, Health and Science

School

Computer and Information Science

RAS ID

4820

Comments

This conference paper was originally published as: 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. Original article available here

© 2006 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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

 
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Link to publisher version (DOI)

10.1109/CEC.2006.1688413