Title
The sport teams grouping problem
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.
Year
DOI
Venue
2019
10.1007/s10479-017-2595-z
Annals of Operations Research
Keywords
Field
DocType
Sport teams grouping problem, Branch-and-price, Column generation, Decomposition strategies, Integer programming, Meta-heuristic
Mathematical optimization,Column generation,Exponential function,Combinatorial optimization problem,Branch and price,Meta heuristic,Integer programming,Mathematics
Journal
Volume
Issue
ISSN
275
1
1572-9338
Citations 
PageRank 
References 
0
0.34
26
Authors
4
Name
Order
Citations
PageRank
Túlio A. Toffolo1264.35
Jan Christiaens200.34
Frits C. R. Spieksma359158.84
Greet Van Den Berghe4243.37