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The Weighted Arborescence Constraint

机译:加权树状约束

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摘要

For a directed graph, a Minimum Weight Arborescence (MWA) rooted at a vertex r is a directed spanning tree rooted at r with the minimum total weight. We define the MinArborescence constraint to solve constrained arborescence problems (CAP) in Constraint Programming (CP). A filtering based on the LP reduced costs requires O(|V|2) where |V| is the number of vertices. We propose a procedure to strengthen the quality of the LP reduced costs in some cases, also running in O(|V|2). Computational results on a variant of CAP show that the additional filtering provided by the constraint reduces the size of the search tree substantially.
机译:对于有向图,以顶点r为根的最小权重树状结构(MWA)是以r为根且总权重最小的有向生成树。我们定义MinArborescence约束以解决约束编程(CP)中的约束树状问题(CAP)。基于LP降低成本的过滤需要O(| V | 2),其中| V |是顶点数。在某些情况下,我们提出了一种程序来增强LP降低成本的质量,该程序也以O(| V | 2)运行。 CAP变体的计算结果表明,约束提供的附加过滤功能大大减少了搜索树的大小。

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