A TSP-Based Algorithm for Multi-League Traveling Tournament

Authors

  • Jingyang Zhao University of Electronic Science and Technology of China Kyung Hee University, Yongin-si, South Korea
  • Mingyu Xiao University of Electronic Science and Technology of China
  • Ken-Ichi Kawarabayashi National Institute of Informatics The University of Tokyo, Tokyo, Japan

DOI:

https://doi.org/10.1609/aaai.v40i43.40977

Abstract

In some professional sports leagues, inter-league games are scheduled among multiple divisions or conferences. This inspired us to study the p-partite Traveling Tournament Problem (p-partite TTP), where teams are partitioned into p leagues, and each team plays games against teams from different leagues. Previously, only the case of p=2, known as the Bipartite TTP or BTTP, has been introduced and studied. In this paper, we show that the p-partite TTP is NP-hard for any fixed p≥3, and we propose an efficient algorithm based on a solution to the Traveling Salesman Problem. Furthermore, we prove that the algorithm achieves a notable approximation ratio of 8/3+O(1/n) when p=3. We also conduct experiments demonstrating that the algorithm produces practical schedules with significantly reduced total travel distances, highlighting its effectiveness in generating high-quality multipartite tournament schedules.

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Published

2026-03-14

How to Cite

Zhao, J., Xiao, M., & Kawarabayashi, K.-I. (2026). A TSP-Based Algorithm for Multi-League Traveling Tournament. Proceedings of the AAAI Conference on Artificial Intelligence, 40(43), 36547–36555. https://doi.org/10.1609/aaai.v40i43.40977

Issue

Section

AAAI Technical Track on Planning, Routing, and Scheduling