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Optimally scheduling real world sports leagues by reduction to SAT

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  • Horbach, Andrei
  • Bartsch, Thomas
  • Briskorn, Dirk

Abstract

Several types of constraints must be satisfied by schedules of real world sports leagues, e. g. stadium unavailability, fixed matches, forbidden matches, minimum number of breaks. Taking into account such constraints, determining a feasible schedule becomes a challenging task. Usually, there is no schedule satisfying all given constraints and, hence, some of the constraints are considered as 'soft' ones. There are various models appropriately describing the environment of real sport leagues. Only heuristic methods are known from the literature for solving instances of such models for real dimensions. We consider here a model which satisfies the demands of many sports leagues. We solve our model by a method which consists in formulating the problem as series of instances of the propositional satisfiability problem and adaption of a satisfiability solver for these specific instances. We test our method on two real world sports leagues and solve the problem optimally in each case. Our solver shows good computational results also on generated test instances, which are motivated by real life requirements of sports league scheduling. Our solver can be easily extended to meet the demands of other sports leagues.

Suggested Citation

  • Horbach, Andrei & Bartsch, Thomas & Briskorn, Dirk, 2009. "Optimally scheduling real world sports leagues by reduction to SAT," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 646, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
  • Handle: RePEc:zbw:cauman:646
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    References listed on IDEAS

    as
    1. Dirk Briskorn & Andreas Drexl, 2007. "Branching Based on Home-Away-Pattern Sets," Operations Research Proceedings, in: Karl-Heinz Waldmann & Ulrike M. Stocker (ed.), Operations Research Proceedings 2006, pages 523-528, Springer.
    2. Rasmussen, Rasmus V. & Trick, Michael A., 2008. "Round robin scheduling - a survey," European Journal of Operational Research, Elsevier, vol. 188(3), pages 617-636, August.
    3. Guillermo Durán & Mario Guajardo & Jaime Miranda & Denis Sauré & Sebastián Souyris & Andres Weintraub & Rodrigo Wolf, 2007. "Scheduling the Chilean Soccer League by Integer Programming," Interfaces, INFORMS, vol. 37(6), pages 539-552, December.
    4. Briskorn, Dirk & Drexl, Andreas, 2009. "A branching scheme for finding cost-minimal round robin tournaments," European Journal of Operational Research, Elsevier, vol. 197(1), pages 68-76, August.
    5. Briskorn, Dirk, 2009. "A branching scheme for minimum cost tournaments with regard to real world constraints," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 643, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    6. Drexl, Andreas & Knust, Sigrid, 2007. "Sports league scheduling: Graph- and resource-based models," Omega, Elsevier, vol. 35(5), pages 465-471, October.
    Full references (including those not matched with items on IDEAS)

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