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A New Variable-Oriented Propagation Scheme for Constraint Satisfaction Problem

机译:约束满足问题的新的面向变量的传播方案

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The coarse-grained arc consistency algorithms maintain a list of elements that need to be revised. It is well known that the performance of such algorithms is affected by the way in which the revisions are performed. In this paper, we propose a new variable-oriented propagation scheme that splits the propagation procedure into two independent phases. We show how it reduces the number of revisions and list operations. In experiments, we apply different revision ordering heuristics to this new variable-oriented scheme and compare them with the most efficient existing propagation schemes. The results from various structured and random problems show that the proposed propagation scheme reduces the number of revisions and offers speed-ups.
机译:粗粒度弧一致性算法会维护需要修改的元素列表。众所周知,这种算法的性能会受到执行修订的方式的影响。在本文中,我们提出了一种新的面向变量的传播方案,该方案将传播过程分为两个独立的阶段。我们展示了它如何减少修订和列表操作的数量。在实验中,我们将不同的修订顺序试探法应用于此新的面向变量的方案,并将其与最有效的现有传播方案进行比较。来自各种结构性和随机问题的结果表明,所提出的传播方案减少了修订的数量并提高了速度。

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