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首页> 外文期刊>Journal of experimental and theoretical artificial intelligence (Online) >A Forward-Checking algorithm based on a Generalised Hypertree Decomposition for solving non-binary constraint satisfaction problems
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A Forward-Checking algorithm based on a Generalised Hypertree Decomposition for solving non-binary constraint satisfaction problems

机译:解决非二元约束满足问题的基于广义超树分解的前向检查算法

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摘要

Methods exploiting hypertree decompositions are considered as the best approach for solving extensional constraint satisfaction problems (CSPs) on finite domains, with regard to theoretical time complexity when fixed widths are considered. However, this result has not been confirmed in practice because of the memory explosion problem. In this article, a new approach for efficient solving extensional non-binary CSPs is proposed. It is a combination of an enumerative search algorithm which is memory efficient and a Generalised Hypertree Decomposition (GHD) that is time efficient. This new approach is a cluster-oriented Forward-Checking algorithm. It considers the solutions of the subproblems deriving from the decomposition, as the values to be assigned rather than the values associated with the variables of the initial problem. In addition, the algorithm is guided by an order induced by the clusters deriving from the GHD. Moreover, two improved versions of this algorithm are proposed. The first version uses nogoods and the second one improves it again by a dynamic reordering of subtrees. All these algorithms have been implemented and the experimental results are promising.
机译:考虑到在考虑固定宽度时的理论时间复杂性,利用超树分解的方法被认为是解决有限域上的扩展约束满足问题(CSP)的最佳方法。但是,由于存在内存爆炸问题,因此尚未在实践中确认此结果。本文提出了一种有效解决扩展非二进制CSP的新方法。它是内存有效的枚举搜索算法与时间有效的广义超树分解(GHD)的结合。这种新方法是面向集群的前向检查算法。它将分解产生的子问题的解决方案视为要分配的值,而不是与初始问题的变量相关联的值。另外,该算法遵循由GHD派生的簇所诱导的顺序。此外,提出了该算法的两个改进版本。第一个版本使用nogoods,第二个版本通过动态重新排序子树对其进行了改进。所有这些算法已经实现,实验结果是有希望的。

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