A matching-based approximation algorithm for the traveling tournament problem

IF 1 4区 计算机科学 Q3 COMPUTER SCIENCE, THEORY & METHODS
Jingyang Zhao, Mingyu Xiao
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引用次数: 0

Abstract

The Traveling Tournament Problem (TTP-k) is a well-known benchmark problem in tournament timetabling. It involves designing a feasible double round-robin tournament for a sports league of n teams under several feasibility requirements, while minimizing the total traveling costs of the teams. The parameter k requires that in the tournament at most k consecutive home games or away games for each team are allowed. TTP-k with a small k, especially for k=2,3 and 4, have been extensively studied in the literature. In this paper, we focus on TTP-4 and design an efficient algorithm for it based on minimum weight matching. In theory, we prove that our algorithm has an approximation ratio of 1.625+ε for any constant ε>0, improving the best-known approximation ratio of 1.7+ε. In practice, our experimental results indicate an average improvement of 6.65% over the best-known solutions on 9 benchmark instances.
一种基于匹配的巡回锦标赛近似算法
巡回赛问题(TTP-k)是一个著名的赛事排程表基准问题。它涉及到在几个可行性要求下,为一个有n支球队的体育联盟设计一个可行的双循环赛,同时最小化球队的总旅行成本。参数k要求在比赛中每支球队最多允许连续k场主客场比赛。具有较小k的TTP-k,特别是当k=2,3和4时,已经在文献中得到了广泛的研究。本文以TTP-4为研究对象,设计了一种基于最小权值匹配的高效TTP-4算法。理论上,我们证明了我们的算法对于任意常数ε>;0的近似比为1.625+ε,改进了最著名的近似比为1.7+ε。在实践中,我们的实验结果表明,在9个基准测试实例上,与最知名的解决方案相比,平均提高了6.65%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Theoretical Computer Science
Theoretical Computer Science 工程技术-计算机:理论方法
CiteScore
2.60
自引率
18.20%
发文量
471
审稿时长
12.6 months
期刊介绍: Theoretical Computer Science is mathematical and abstract in spirit, but it derives its motivation from practical and everyday computation. Its aim is to understand the nature of computation and, as a consequence of this understanding, provide more efficient methodologies. All papers introducing or studying mathematical, logic and formal concepts and methods are welcome, provided that their motivation is clearly drawn from the field of computing.
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