JSAI2020

Presentation information

General Session

General Session » J-1 Fundamental AI, theory

[2N6-GS-1] Fundamental AI, theory: Constraint satisfaction and optimization

Wed. Jun 10, 2020 5:50 PM - 7:30 PM Room N (jsai2020online-14)

座長:波多野大督(理化学研究所)

6:10 PM - 6:30 PM

[2N6-GS-1-02] Break Minimization Problem for U12 Basketball League

Ryuta Inoue1, 〇Tenda Okimoto1, Katsutoshi Hirayama1 (1. Kobe University)

Keywords:Sports Scheduling, Break Minimization Problem, U12 Basketball League

Break minimization problem is one of the representative problems in sport scheduling. The aim of this problem is to find a home-away assignment that minimizes the number of breaks, that is, the number of occurrences of consecutive games held either both at away or both at home for a team. In this paper, Break Minimization Problem of U12 basketball league games (BMPU12) is first introduced. In the experiments, we utilize the real data of U12 basketball league games played in Hyogo prefecture in 2018 and find the minimal number of breaks for it.

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