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Towards the Characterization of Max-Resolution Transformations of UCSs by UP-Resilience

机译:UP弹性表征UCS的最大分辨率变换

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The Max-SAT problem consists in finding an assignment maximizing the number of satisfied clauses. Complete methods for this problem include Branch and Bound (BnB) algorithms which use max-resolution, the inference rule for Max-SAT, to ensure that every computed Inconsistent Subset (IS) is counted only once in the lower bound estimation. However, learning max-resolution transformations can be detrimental to their performance so they are usually selectively learned if they respect certain patterns. In this paper, we focus on recently introduced patterns called Unit Clause Subsets (UCSs). We characterize the transformations of certain UCS patterns using the UP-resilience property. Finally, we explain how our result can help extend the current patterns.
机译:Max-SAT问题在于找到使满足的子句数量最大化的赋值。解决此问题的完整方法包括使用最大分辨率(Max-SAT的推理规则)最大分辨率的分支定界(BnB)算法,以确保在下界估计中仅对每个计算出的不一致子集(IS)进行一次计数。但是,学习最大分辨率转换可能会影响其性能,因此如果它们遵循某些模式,通常会选择性地学习它们。在本文中,我们集中于最近介绍的称为单位子句子集(UCS)的模式。我们使用UP弹性属性来表征某些UCS模式的转换。最后,我们解释我们的结果如何帮助扩展当前模式。

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