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Improved bounds for the traveling umpire problem: A stronger formulation and a relax-and-fix heuristic
Authors:Lucas de Oliveira  Cid C de Souza  Tallys Yunes
Institution:1. Institute of Computing, University of Campinas (UNICAMP), Campinas, SP, Brazil;2. School of Business Administration, University of Miami, Coral Gables, FL, USA
Abstract:Given a double round-robin tournament, the traveling umpire problem (TUP) consists of determining which games will be handled by each one of several umpire crews during the tournament. The objective is to minimize the total distance traveled by the umpires, while respecting constraints that include visiting every team at home, and not seeing a team or venue too often. We strengthen a known integer programming formulation for the TUP and use it to implement a relax-and-fix heuristic that improves the quality of 24 out of 25 best-known feasible solutions to instances in the TUP benchmark. We also improve all best-known lower bounds for those instances and, for the first time, provide lower bounds for instances with more than 16 teams.
Keywords:OR in sports  Baseball  Heuristics  Integer programming  Relax-and-fix  Traveling umpire problem
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