Publications

Below is a list of all papers that are somehow related to the ITC 2021 competition. If you do not find your paper in this list, send a mail to itc2021 at ugent dot be.

Lester [1],Rosati et al. [2],Fonseca & Toffolo [3],Lester [4],Alsmadi et al. [5],Berthold et al. [6],Phillips et al. [7],Sumin & Rodin [8],van Doornmalen et al. [9],Lester [10],Rosati et al. [11],Lamas-Fernandez et al. [12],Fonseca & Toffolo [13],Van Bulck et al. [14]

[1] Lester, M.M. Pseudo-Boolean optimisation for RobinX sports timetabling. Journal of Scheduling, 25:287-299, Springer, 2022.
[2] Rosati, R.M., Petris, M., Di Gaspero, L. & Schaerf, A. Multi-neighborhood simulated annealing for the sports timetabling competition ITC2021. Journal of Scheduling, 25:301-319, Springer, 2022.
[3] Fonseca, G.G. & Toffolo, T.A.M. A fix-and-optimize heuristic for the ITC2021 sports timetabling problem. Journal of Scheduling, 25:273-286, Springer, 2022.
[4] Lester, M.M. Sports Timetabling SAT Benchmarks. In SAT COMPETITION 2022, pages 68-69, 2022.
[5] Alsmadi, M.K., Jaradat, G.M., Alzaqebah, M., ALmarashdeh, I., Alghamdi, F.A., Mustafa, R., Mohammad, A., Aldhafferi, N. & Alqahtani, A. An Enhanced Particle Swarm Optimization for ITC2021 Sports Timetabling. Computers, Materials & Continua, 72:1995-2014, 2022.
[6] Berthold, T., Koch, T. & Shinano, Y. MILP. Try. Repeat. In Proceedings of the 13th International Conference on the Practice and Theory of Automated Timetabling - PATAT 2021: Volume II, pages 403-411, PATAT, 2021.
[7] Phillips, A.E., O'Sullivan, M. & Walker, C. An adaptive large neighbourhood search matheuristic for the ITC2021 Sports Timetabling Competition. In Proceedings of the 13th International Conference on the Practice and Theory of Automated Timetabling - PATAT 2021: Volume II, pages 426-430, PATAT, 2021.
[8] Sumin, D. & Rodin, I. MILP Based Approaches for Scheduling Double Round-Robin Tournaments. In Proceedings of the 13th International Conference on the Practice and Theory of Automated Timetabling - PATAT 2021: Volume II, pages 420-425, PATAT, 2021.
[9] van Doornmalen, J., Hojny, C., Lambers, R. & Spieksma, F. A Hybrid Model to Find Schedules for Double Round Robin Tournaments With Side Constraints. In Proceedings of the 13th International Conference on the Practice and Theory of Automated Timetabling - PATAT 2021: Volume II, pages 412-419, PATAT, 2021.
[10] Lester, M.M. Reprobate at ITC 2021 Pseudoboolean Optimisation for RobinX Sports Timetabling. In Proceedings of the 13th International Conference on the Practice and Theory of Automated Timetabling - PATAT 2021: Volume II, pages 454-459, PATAT, 2021.
[11] Rosati, R.M., Petris, M., Di Gaspero, L. & Schaerf, A. Multi-Neighborhood Simulated Annealing for the Sport Timetabling Competition ITC2021. In Proceedings of the 13th International Conference on the Practice and Theory of Automated Timetabling - PATAT 2021: Volume II, pages 449-453, PATAT, 2021.
[12] Lamas-Fernandez, C., Martinez-Sykora, A. & Potts, C.N. Scheduling Double Round-Robin Sports Tournaments. In Proceedings of the 13th International Conference on the Practice and Theory of Automated Timetabling - PATAT 2021: Volume II, pages 435-448, PATAT, 2021.
[13] Fonseca, G.H.G. & Toffolo, T.A.M. A Fix-and-Optimize Heuristic for the ITC2021 Sports Timetabling Problem. In Proceedings of the 13th International Conference on the Practice and Theory of Automated Timetabling - PATAT 2021: Volume II, pages 431-434, PATAT, 2021.
[14] Van Bulck, D., Goossens, D., Belien, J. & Davari, M. The fifth international timetabling competition (ITC 2021): Sports timetabling. In MathSport International 2021, pages 117-122, 2021.
Source code

Would you like to make your code open source? Please send a mail to itc2021 at ugent dot be!

  • The source code of the validator is now available on github! GitHub
  • Python converters to transform the ITC2021 problem instances into Zimpl modelling language which can then be converted into a .mps or .lp file to be solved with an standard MILP solver, and to transform back a solution to the XML file format. This code was gently provided by Team Modal, who used it during the competition.