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
Link To Document :
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