Please use this identifier to cite or link to this item: http://www.repositorio.ufop.br/handle/123456789/10421
Title: The sport teams grouping problem.
Authors: Toffolo, Túlio Ângelo Machado
Christiaens, Jan
Spieksma, Frits C. R.
Berghe, Greet Vanden
Keywords: Integer programming
Meta-heuristic
Branch-and-price
Column generation
Decomposition strategies
Issue Date: 2017
Citation: TOFFOLO, T. A. M. et al. The sport teams grouping problem. Annals of Operations Research, p. 1-21, 2017. Disponível em: <https://link.springer.com/article/10.1007%2Fs10479-017-2595-z>. Acesso em: 16 jun. 2018.
Abstract: The sport teams grouping problem (STGP) concerns the assignment of sport teams to round-robin tournaments. The objective is to minimize the total travel distance of the participating teams while simultaneously respecting fairness constraints. The STGP is an NP-Hard combinatorial optimization problem highly relevant in practice. This paper investigates the performance of some complimentary optimization approaches to the STGP. Three integer programming formulations are presented and thoroughly analyzed: two compact formulations and another with an exponential number of variables, for which a branch-and-price algorithm is proposed. Additionally, a meta-heuristic method is applied to quickly generate feasible high-quality solutions for a set of real-world instances. By combining the different approaches’ results, solutions within 1.7% of the optimum values were produced for all feasible instances. Additionally, to support further research, the considered STGP instances and corresponding solutions files were shared online.
URI: http://www.repositorio.ufop.br/handle/123456789/10421
metadata.dc.identifier.uri2: https://link.springer.com/article/10.1007%2Fs10479-017-2595-z
ISSN: 15729338
Appears in Collections:DECOM - Artigos publicados em periódicos

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