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Temporal Network Optimization Subject to Connectivity Constraints

机译:时间网络优化受连接约束

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In this work we consider temporal networks, i.e. networks defined by a labeling λ assigning to each edge of an underlying graph G a set of discrete time-labels. The labels of an edge, which are natural numbers, indicate the discrete time moments at which the edge is available. We focus on path problems of temporal networks. In particular, we consider time-respecting paths, i.e. paths whose edges are assigned by λ a strictly increasing sequence of labels. We begin by giving two efficient algorithms for computing shortest time-respecting paths on a temporal network. We then prove that there is a natural analogue of Menger's theorem holding for arbitrary temporal networks. Finally, we propose two cost minimization parameters for temporal network design. One is the temporality of G, in which the goal is to minimize the maximum number of labels of an edge, and the other is the temporal cost of G, in which the goal is to minimize the total number of labels used. Optimization of these parameters is performed subject to some connectivity constraint. We prove several lower and upper bounds for the temporality and the temporal cost of some very basic graph families such as rings, directed acyclic graphs, and trees.
机译:在这项工作中,我们考虑时间网络,即由标记λ定义的网络分配给底层图G的每个边缘G一组离散时间标签。边缘的标签为自然数,表示边缘可用的离散时间矩。我们专注于时间网络的路径问题。特别地,我们考虑时间偏见的路径,即,由λ分配的路径是严格增加的标签序列。首先,通过给出两个有效的算法来计算时间网络上的最短时间偏见路径。然后,我们证明了Menger的定理持有任意时间网络的自然模糊。最后,我们提出了两个成本最小化的时间网络设计参数。一个是G的时间性,其中目标是最小化边缘的最大标签数,另一个是G的时间成本,其中目标是最小化所用的标签总数。执行这些参数的优化,以某种连接约束执行。我们证明了几个下限和上限的暂时性和一些非常基本的图形系列的时间成本,如环,指导的非循环图和树木。

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