IJCAI 2021poster14 citations

The Traveling Tournament Problem with Maximum Tour Length Two: A Practical Algorithm with An Improved Approximation Bound

Jingyang Zhao, Mingyu Xiao

Abstract

The Traveling Tournament Problem is a well-known benchmark problem in tournament timetabling, which asks us to design a schedule of home/away games of n teams (n is even) under some feasibility requirements such that the total traveling distance of all the n teams is minimized. In this paper, we study TTP-2, the traveling tournament problem where at most two consecutive home games or away games are allowed, and give an effective algorithm for n/2 being odd. Experiments on the well-known benchmark sets show that we can beat previously known solutions for all instances with n/2 being odd by an average improvement of 2.66%. Furthermore, we improve the theoretical approximation ratio from 3/2+O(1/n) to 1+O(1/n) for n/2 being odd, answering a challenging open problem in this area.

Planning and Scheduling: Planning AlgorithmsPlanning and Scheduling: SchedulingPlanning and Scheduling: Theoretical Foundations of Planning
BibTeX
@inproceedings{ijcai2021p578,
  title     = {The Traveling Tournament Problem with Maximum Tour Length Two: A Practical Algorithm with An Improved  Approximation Bound},
  author    = {Zhao, Jingyang and Xiao, Mingyu},
  booktitle = {Proceedings of the Thirtieth International Joint Conference on
               Artificial Intelligence, {IJCAI-21}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Zhi-Hua Zhou},
  pages     = {4206--4212},
  year      = {2021},
  month     = {8},
  note      = {Main Track},
  doi       = {10.24963/ijcai.2021/578},
  url       = {https://doi.org/10.24963/ijcai.2021/578},
}
The Traveling Tournament Problem with Maximum Tour Length Two: A Practical Algorithm with An Improved Approximation Bound · IJCAI 2021