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A New Characterization of Relevant Intervals for Energetic Reasoning

机译:能量推理相关区间的新表征

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Energetic Reasoning (ER) is a powerful filtering algorithm for the Cumulative constraint. Unfortunately, ER is generally too costly to be used in practice. One reason of its bad behavior is that many intervals are considered as relevant, although most of them should be ignored. In the literature, heuristic approaches have been developed in order to reduce the number of intervals to consider, leading to a loss of filtering. In this paper, we provide a sharp characterization that allows to reduce the number of intervals by a factor seven without loss of filtering.
机译:能量推理(ER)是一种用于累积约束的强大过滤算法。不幸的是,ER通常太昂贵而无法在实践中使用。其不良行为的原因之一是,尽管应该忽略大多数间隔,但许多间隔被认为是相关的。在文献中,已经开发了启发式方法,以减少要考虑的间隔数,从而导致过滤损失。在本文中,我们提供了鲜明的特征,可以将间隔数减少七分之一,而不会损失滤波。

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