Abstract
This paper introduces the use of Bender’s Cuts to guide a Large Neighborhood Search to solve the Traveling Umpire Problem, a sports scheduling problem inspired by the real-life needs of the officials of a sports league. At each time slot, a Greedy Matching heuristic is used to construct a schedule. When an infeasibility is recognized Bender’s cuts are generated, which guides a Large Neighborhood Search to ensure feasibility and to improve the solution.
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Trick, M.A., Yildiz, H. (2007). Bender’s Cuts Guided Large Neighborhood Search for the Traveling Umpire Problem. In: Van Hentenryck, P., Wolsey, L. (eds) Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems. CPAIOR 2007. Lecture Notes in Computer Science, vol 4510. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72397-4_24
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DOI: https://doi.org/10.1007/978-3-540-72397-4_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72396-7
Online ISBN: 978-3-540-72397-4
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