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A non-binary constraint ordering heuristic for constraint satisfaction problems

机译:约束满足问题的非二元约束排序启发式

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Nowadays many real problems can be modelled as constraint satisfaction problems (CSPs). A search algorithm for constraint programming requires an order in which variables and values should to be considered. Choosing the right order of variables and values can noticeably improve the efficiency of constraint satisfaction. Furthermore, the order in which constraints are studied can improve efficiency, particularly in problems with non-binary constraints. In this paper, we present a preprocess heuristic called constraint ordering heuristic (COH) that studies the constrainedness of the scheduling problem and mainly classifies the constraints so that the tightest ones are studied first. Thus, constrainedness can be known in advance and overall inconsistencies can be found earlier and the number of constraint checks can significantly be reduced. (C) 2007 Elsevier Inc. All rights reserved.
机译:如今,许多实际问题都可以建模为约束满足问题(CSP)。用于约束编程的搜索算法要求应考虑变量和值的顺序。选择正确的变量和值顺序可以显着提高约束满足的效率。此外,研究约束的顺序可以提高效率,特别是在具有非二进制约束的问题中。在本文中,我们提出了一种预处理启发式算法,称为约束排序启发式算法(COH),该算法研究调度问题的约束,并主要对约束进行分类,从而首先研究最严格的约束。因此,可以预先知道约束,并且可以更早地发现整体不一致,并且可以显着减少约束检查的次数。 (C)2007 Elsevier Inc.保留所有权利。

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