English

Practical Algorithms with Guaranteed Approximation Ratio for TTP with Maximum Tour Length Two

Data Structures and Algorithms 2022-12-26 v1

Abstract

The Traveling Tournament Problem (TTP) is a hard but interesting sports scheduling problem inspired by Major League Baseball, which is to design a double round-robin schedule such that each pair of teams plays one game in each other's home venue, minimizing the total distance traveled by all nn teams (nn is even). In this paper, we consider TTP-2, i.e., TTP under the constraint that at most two consecutive home games or away games are allowed for each team. We propose practical algorithms for TTP-2 with improved approximation ratios. Due to the different structural properties of the problem, all known algorithms for TTP-2 are different for n/2n/2 being odd and even, and our algorithms are also different for these two cases. For even n/2n/2, our approximation ratio is 1+3/n1+3/n, improving the previous result of 1+4/n1+4/n. For odd n/2n/2, our approximation ratio is 1+5/n1+5/n, improving the previous result of 3/2+6/n3/2+6/n. In practice, our algorithms are easy to implement. Experiments on well-known benchmark sets show that our algorithms beat previously known solutions for all instances with an average improvement of 5.66%5.66\%.

Keywords

Cite

@article{arxiv.2212.12240,
  title  = {Practical Algorithms with Guaranteed Approximation Ratio for TTP with Maximum Tour Length Two},
  author = {Jingyang Zhao and Mingyu Xiao},
  journal= {arXiv preprint arXiv:2212.12240},
  year   = {2022}
}

Comments

arXiv admin note: substantial text overlap with arXiv:2108.13060

R2 v1 2026-06-28T07:50:20.945Z