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Solving the Kirkman's Schoolgirl Problem in a Few Seconds

机译:在几秒钟内解决Kirkman的女学生问题

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The Social Golfer Problem has been extensively used in recent years by the constraint community as an example of highly symmetric problem. It is an excellent problem for benchmarking symmetry breaking mechanisms such as SBDS or SBDD and for demonstrating the importance of the choice of the right model for one problem. We address in this paper a specific instance of the Golfer Problem well known as the Kirkman's Schoolgirl Problem and list a collection of techniques and tricks to find efficiently all its unique solutions. In particular, we propose SBDD+, an generic improvement over SBDD which allows a deep pruning when a symmetry is detected during the search. Our implementation of the presented techniques allows us to improve previous published results by an order of magnitude for CPU time as well as number of backtracks, and to compute the seven unique solutions of the Kirkman's problem in a few seconds.
机译:近年来,由约束社区作为高度对称问题的例子,社会高尔夫球手问题已被广泛使用。对于基准测试诸如SBD或SBDD等对称性破坏机制并用于证明一个问题的选择的重要性是一个很好的问题。我们在本文中解决了高尔夫球手问题的特定实例,众所周知的Kirkman的女学生问题,并列出了一系列技术和技巧,以便有效地找到其所有独特的解决方案。特别是,我们提出了SBDD +,通过SBDD的通用改进,当在搜索期间检测到对称性时允许深度修剪。我们对所提出的技术的实现使我们能够以对CPU时间和返回数量的数量级来改善出现的发布结果,并在几秒钟内计算kirkman问题的七个独特解决方案。

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