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Edge coloring: A natural model for sports scheduling

Author

Listed:
  • Januario, Tiago
  • Urrutia, Sebastián
  • Ribeiro, Celso C.
  • de Werra, Dominique

Abstract

In this work, we consider some basic sports scheduling problems and introduce the notions of graph theory which are needed to build adequate models. We show, in particular, how edge coloring can be used to construct schedules for sports leagues. Due to the emergence of various practical requirements, one cannot be restricted to classical schedules given by standard constructions, such as the circle method, to color the edges of complete graphs. The need of exploring the set of all possible colorings inspires the design of adequate coloring procedures. In order to explore the solution space, local search procedures are applied. The standard definitions of neighborhoods that are used in such procedures need to be extended. Graph theory provides efficient tools for describing various move types in the solution space. We show how formulations in graph theoretical terms give some insights to conceive more general move types. This leads to a series of open questions which are also presented throughout the text.

Suggested Citation

  • Januario, Tiago & Urrutia, Sebastián & Ribeiro, Celso C. & de Werra, Dominique, 2016. "Edge coloring: A natural model for sports scheduling," European Journal of Operational Research, Elsevier, vol. 254(1), pages 1-8.
    • Handle: RePEc:eee:ejores:v:254:y:2016:i:1:p:1-8
    DOI: 10.1016/j.ejor.2016.03.038
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    Citations

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    Cited by:

    1. Túlio A. M. Toffolo & Jan Christiaens & Frits C. R. Spieksma & Greet Vanden Berghe, 2019. "The sport teams grouping problem," Annals of Operations Research, Springer, vol. 275(1), pages 223-243, April.
    2. Katarína Cechlárová & Ágnes Cseh & Zsuzsanna Jankó & Marián Kireš & Lukáš Miňo, 2023. "A quest for a fair schedule: The International Young Physicists’ Tournament," Journal of Scheduling, Springer, vol. 26(1), pages 3-18, February.
    3. Burak Çavdaroğlu & Tankut Atan, 2022. "Integrated break and carryover effect minimization," Journal of Scheduling, Springer, vol. 25(6), pages 705-719, December.
    4. Yun-Chia Liang & Yen-Yu Lin & Angela Hsiang-Ling Chen & Wei-Sheng Chen, 2021. "Variable Neighborhood Search for Major League Baseball Scheduling Problem," Sustainability, MDPI, vol. 13(7), pages 1-18, April.
    5. Ferrarini, Luca & Gualandi, Stefano, 2022. "Total Coloring and Total Matching: Polyhedra and Facets," European Journal of Operational Research, Elsevier, vol. 303(1), pages 129-142.

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