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Computing all minimal hitting sets by subset recombination

机译:通过子集重组计算所有最小的击球组

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摘要

In model-based diagnosis from first principles, the efficient computation of all minimal hitting sets (MHS) as candidates for the conflict component sets of a device is a vital task. However, deriving all MHS is NP-hard. In this paper, the principle of "Divide and Conquer" is used to decompose a large family of conflict sets into many smaller sub-families. To efficiently merge the sub-MHS to give sub-families of conflict sets, the relations between the sub-MHS and sub-families of conflict sets are exploited. Based on this, a new method called Subset-Rec-MHS is proposed. In theory, our method based on sub-MHS recombination generally has lower complexity than that based on whole MHS families, as it avoids a large number of set unions and comparisons (to minimize the family of hitting sets). Compared with the direct merge of whole MHS families, the proposed approach reduces the computation time by a factor of approximately 7/16. Experimental results on both synthetic examples and ISCAS-85 benchmark circuit conflict sets show that, in many cases, our approach offers better performance than previous algorithms.
机译:在基于模型的诊断中,从第一个原则,作为设备的冲突组件集的候选者的所有最小击中集(MHS)的有效计算是一个重要的任务。然而,导出所有MHS是NP-HARD。在本文中,“鸿沟和征服”原则用于分解大家庭的冲突,进入许多较小的子家庭。为了有效地合并子MHS来提供冲突群的子家庭,利用了冲突组的子MHS与子系列之间的关系。基于此,提出了一种称为子集-CCS的新方法。理论上,我们基于Sub-MHS重组的方法通常具有比整个MHS系列的复杂性较低,因为它避免了大量设定的工会和比较(以最小化击中集的家庭)。与整个MHS系列的直接合并相比,所提出的方法将计算时间减少约7/16。综合实施例和ISCAS-85基准电路冲突集的实验结果表明,在许多情况下,我们的方法提供比以前的算法更好的性能。

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