Node Coincidence in Metric Minimum Weighted Length Graph Embeddings

Frank Plastria
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Abstract

The minisum multifacility location problem is viewed as finding an embedding of a graph in a metric space under additional constraints such as a number of fixed vertex locations, minimising the sum of weighted lengths of all edges. We show that certain nontrivial minimal cuts in the graph are sets of nodes that will necessarily coincide at any or at some optimal solution, irrespective of the fixed locations and the metric. This new property strongly generalises all coincidence conditions known in literature. In fact we show that it is best possible for coincidence with a fixed vertex at any position in arbitrary metric spaces. For coincidence among free vertices a different property of graph symmetry is also sufficient, and we conjecture its best possibility in conjunction with the minimal cut condition. All such instance-independent coincidences (both in at least one and in all optimal solutions) may be determined efficiently.

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度量最小加权长度图嵌入中的节点重合度
最小和多设施定位问题被视为在一些附加约束条件(如一些固定的顶点位置)下,在度量空间中寻找一个图的嵌入,并使所有边的加权长度之和最小化。我们的研究表明,无论固定位置和度量条件如何,图中某些非微不足道的最小切点都是在任意位置或某些最优解中必然重合的节点集。这一新特性有力地概括了文献中已知的所有重合条件。事实上,我们证明了在任意度量空间中,任何位置的固定顶点都有可能重合。对于自由顶点之间的重合,图对称性的另一个属性也是充分的,我们推测它与最小切分条件结合的最佳可能性。所有这些与实例无关的重合(至少在一个最优解和所有最优解中)都可以有效地确定。
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