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An Incremental Boolean Algorithm for Computing Minimal Hitting Sets

机译:计算最小击中集的增量布尔算法

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Deriving all minimal hitting sets (MHSs) for a family of conflict sets is a classical problem in model-based diagnosis. An incremental Boolean algorithm for computing MHSs was proposed. According to the traditional Boolean algorithm, after selecting the element, we decomposed the whole family of conflict sets into left and right branches (parts), and incidentally, the left one was a subset of the right one. Therefore, after we got the solution of the left branch, we could directly obtain the solution of the right branch in an incremental way. Experimental results showed that our incremental approach was more efficient than the traditional Boolean algorithm and some other related algorithms, in many cases.
机译:得出一系列冲突集的所有最小匹配集(MHS)是基于模型的诊断中的经典问题。提出了一种用于计算MHS的增量布尔算法。根据传统的布尔算法,在选择元素后,我们将整个冲突集家族分解为左右分支(部分),顺便说一句,左冲突集是右冲突集的子集。因此,得到左分支的解后,就可以以增量的方式直接获得右分支的解。实验结果表明,在许多情况下,我们的增量方法比传统的布尔算法和其他一些相关算法更有效。

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