DocumentCode
2709362
Title
Super 14 Rugby Fixture Scheduling Using a Multi-Objective Evolutionary Algorithm
Author
While, Lyndon ; Barone, Luigi
Author_Institution
Sch. of Comput. Sci. & Software Eng., Western Australia Univ.
fYear
2007
fDate
1-5 April 2007
Firstpage
35
Lastpage
42
Abstract
Super 14 Rugby is not only a popular game, but also a hugely profitable business. However, determining a schedule for games in the competition is very difficult, as a number of different, often conflicting, factors must be considered. We propose the use of a multi-objective evolutionary algorithm for deciding 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. We compare solutions found by our approach with recent fixtures employed by the organising authority; our results showing significant improvements over the existing solutions
Keywords
evolutionary computation; scheduling; sport; Super 14 Rugby; fixture scheduling; games scheduling; multiobjective evolutionary algorithm; Africa; Australia; Computational intelligence; Computer science; Evolutionary computation; Fans; Fixtures; Injuries; Processor scheduling; Software engineering; Fixture Scheduling; Multi-Objective Evolutionary Algorithm; Super 14;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence in Scheduling, 2007. SCIS '07. IEEE Symposium on
Conference_Location
Honolulu, HI
Print_ISBN
1-4244-0704-4
Type
conf
DOI
10.1109/SCIS.2007.367667
Filename
4218594
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