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Solving the Kirkman's Schoolgirl Problem in a Few Seconds

机译:在几秒钟内解决柯克曼的女学生问题

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摘要

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,约束社区已广泛使用社会高尔夫球手问题作为高度对称问题的一个示例。对于基准测试对称破坏机制(例如SBDS或SBDD)并证明针对一个问题选择正确模型的重要性,这是一个极好的问题。我们将在本文中解决高尔夫球手问题的一个特定实例,即众所周知的柯克曼的女学生问题,并列出一系列技术和技巧以有效地找到其所有独特的解决方案。特别是,我们提出了SBDD +,这是对SBDD的一般改进,当在搜索过程中检测到对称性时,可以进行深度修剪。我们对提出的技术的实现使我们能够将先前发布的结果的CPU时间和回溯次数提高一个数量级,并在几秒钟内计算出柯克曼问题的七个独特解决方案。

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