The Linear Distance Traveling Tournament Problem

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Abstract

We introduce a linear distance relaxation of the nteam Traveling Tournament Problem (TTP), a simple yet powerful heuristic that temporarily “assumes” the n teams are located on a straight line, thereby reducing the (n/2/) pairwise distance parameters to just n - 1 variables. The modified problem then becomes easier to analyze, from which we determine an approximate solution for the actual instance on n teams. We present combinatorial techniques to solve the Linear Distance TTP (LD-TTP) for n = 4 and n = 6, without any use of computing, generating the complete set of optimal distances regardless of where the n teams are located. We show that there are only 295 non-isomorphic schedules that can be a solution to the 6-team LD-TTP, and demonstrate that in all previously-solved benchmark TTP instances on 6 teams, the distance-optimal schedule appears in this list of 295, even when the six teams are arranged in a circle or located in three-dimensional space. We then extend the LD-TTP to multiple rounds, and apply our theory to produce a nearly-optimal regular-season schedule for the Nippon Pro Baseball league in Japan. We conclude the paper by generalizing our theory to the n-team LD-TTP, producing a feasible schedule whose total distance is guaranteed to be no worse than 4/3 times the optimal solution.

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APA

Hoshino, R., & Kawarabayashi, K. I. (2012). The Linear Distance Traveling Tournament Problem. In Proceedings of the 26th AAAI Conference on Artificial Intelligence, AAAI 2012 (pp. 1770–1778). AAAI Press. https://doi.org/10.1609/aaai.v26i1.8358

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