A Greedy Algorithm for the Social Golfer and the Oberwolfach Problem

Daniel Schmand*, Marc Schröder*, Laura Vargas Koch*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Inspired by the increasing popularity of Swiss-system tournaments in sports, we study the problem of predetermining the number of rounds that can be guaranteed in a Swiss-system tournament. Matches of these tournaments are usually determined in a myopic round-based way dependent on the results of previous rounds. Together with the hard constraint that no two players meet more than once during the tournament, at some point it might become infeasible to schedule a next round. For tournaments with n players and match sizes of k >= 2 players, we prove that we can always guarantee left perpendicularn/k(k -1)right perpendicular & nbsp;rounds. We show that this bound is tight. This provides a simple polynomial time constant factor approximation algorithm for the social golfer problem.& nbsp;We extend the results to the Oberwolfach problem. We show that a simple greedy approach guarantees at least left perpendicularn+4/6right perpendicular & nbsp;rounds for the Oberwolfach problem. This yields a polynomial time 1/3+epsilon-approximation algorithm for any fixed epsilon > 0 for the Oberwolfach problem. Assuming that El-Zahar's conjecture is true, we improve the bound on the number of rounds to be essentially tight. (C)& nbsp;2021 The Author(s). Published by Elsevier B.V.

Original languageEnglish
Pages (from-to)310-319
Number of pages10
JournalEuropean Journal of Operational Research
Volume300
Issue number1
DOIs
Publication statusPublished - 1 Jul 2022

Keywords

  • Graph theory
  • OR in sports
  • combinatorial optimization
  • COMBINATORIAL
  • Combinatorial optimization

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