Practical Algorithms with Guaranteed Approximation Ratio for TTP with Maximum Tour Length Two
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 teams ( 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 being odd and even, and our algorithms are also different for these two cases. For even , our approximation ratio is , improving the previous result of . For odd , our approximation ratio is , improving the previous result of . 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 .
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