Abstract
A 2.75-approximation algorithm is proposed for the unconstrained traveling tournament problem, which is a variant of the traveling tournament problem. For the unconstrained traveling tournament problem, this is the first proposal of an approximation algorithm with a constant approximation ratio. In addition, the proposed algorithm yields a solution that meets both the no-repeater and mirrored constraints. Computational experiments show that the algorithm generates solutions of good quality.
Similar content being viewed by others
References
Bhattacharyya, R. (2009). A note on complexity of traveling tournament problem. Available from Optimization Online, Web page. http://www.optimization-online.org/.
Christofides, N. (1976). Worst-case analysis of a new heuristic for the traveling salesman problem (Report 388). Graduate School of Industrial Administration, Carnegie-Mellon University.
Cook, W. (2011). Concorde TSP solver. Web page, as of http://www.tsp.gatech.edu/concorde.html.
Easton, K., Nemhauser, G., & Trick, M. (2001). The traveling tournament problem: description and benchmarks. In Lecture notes in computer science (Vol. 2239, pp. 580–584).
Fujiwara, N., Imahori, S., Matsui, T., & Miyashiro, R. (2007). Constructive algorithms for the constant distance traveling tournament problem. In Lecture notes in computer science (Vol. 3867, pp. 135–146).
Gurobi Optimization (2011). Gurobi Optimizer 4.5.1. http://www.gurobi.com/.
Imahori, S., Matsui, T., & Miyashiro, R. (2010). An approximation algorithm for the unconstrained traveling tournament problem. In Proceedings of the 8th international conference on the practice and theory of automated timetabling (PATAT) (pp. 508–512).
Kendall, G., Knust, S., Ribeiro, C. C., & Urrutia, S. (2010). Scheduling in sports: an annotated bibliography. Computers and Operations Research, 37, 1–19.
Miyashiro, R., Matsui, T., & Imahori, S. (2012). An approximation algorithm for the traveling tournament problem. Annals of Operations Research, 194, 317–324.
Rasmussen, R. V., & Trick, M. A. (2008). Round robin scheduling—a survey. European Journal of Operational Research, 188, 617–636.
Thielen, C., & Westphal, S. (2010). Approximating the traveling tournament problem with maximum tour length 2. In Lecture notes in computer science (Vol. 6507, pp. 303–314).
Thielen, C., & Westphal, S. (2011). Complexity of the traveling tournament problem. Theoretical Computer Science, 412, 345–351.
Trick, M. (2010). Challenge traveling tournament problems. Web page, as of http://mat.gsia.cmu.edu/TOURN/.
Trick, M. A. (2011). Sports scheduling. In Springer optimization and its applications: Vol. 45. Hybrid optimization (pp. 489–508).
Urrutia, S., & Ribeiro, C. C. (2006). Maximizing breaks and bounding solutions to the mirrored traveling tournament problem. Discrete Applied Mathematics, 154, 1932–1938.
Westphal, S., & Noparlik, K. (2010). A 5.875-approximation for the traveling tournament problem. In Proceedings of the 8th international conference on the practice and theory of automated timetabling (PATAT) (pp. 417–426).
Yamaguchi, D., Imahori, S., Miyashiro, R., & Matsui, T. (2011). An improved approximation algorithm for the traveling tournament problem. Algorithmica, 61, 1077–1091.
Author information
Authors and Affiliations
Corresponding author
Additional information
The present study was supported in part by Grants-in-Aid for Scientific Research, by the Ministry of Education, Culture, Sports, Science and Technology of Japan.
Rights and permissions
About this article
Cite this article
Imahori, S., Matsui, T. & Miyashiro, R. A 2.75-approximation algorithm for the unconstrained traveling tournament problem. Ann Oper Res 218, 237–247 (2014). https://doi.org/10.1007/s10479-012-1161-y
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10479-012-1161-y