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Solving the steiner tree problem with revenues, budget and hop constraints to optimality

机译:用收益,预算和跳数约束来解决斯坦纳树问题以达到最优

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We investigate the Steiner tree problem with revenues, budget and hop constraints (STPRBH) on graph, which is a generalization of the well-known Steiner tree problem. Given a root node, edge costs, nodes revenues, as well as a preset budget and hop, the STPRBH seeks to find a subtree that includes the root node and maximizes the sum of the total edge revenues respecting the budget and hop constraints. These constraints impose limits on the total cost of the network and the number of edges between any vertex and the root. Not surprisingly, the STPRBH is NP-hard. For this challenging network design problem that arises in telecommunication settings and multicast routing, we present several polynomial size formulations. We propose an enhanced formulation based on the classical work of Miller, Tucker, and Zemlin by using additional set of variables representing the rank-order of visiting the nodes. Also, we investigate a new formulation for the STPRBH by tailoring a partial rank-1 of the Reformulation-Linearization Technique. Extensive results are exhibited using a set of benchmark instances to compare the proposed formulations by using a general purpose MIP solver.
机译:我们在图上研究带有收益,预算和跳数约束(STPRBH)的Steiner树问题,这是对著名的Steiner树问题的推广。给定一个根节点,边缘成本,节点收入以及预设的预算和跃点,STPRBH力求找到一个包含根节点的子树,并在考虑预算和跃点约束的情况下最大化总边缘收入的总和。这些约束限制了网络的总成本以及任何顶点和根之间的边数。毫不奇怪,STPRBH具有NP硬性。对于电信设置和多播路由中出现的具有挑战性的网络设计问题,我们提出了几种多项式大小公式。我们根据米勒(Miller),塔克(Tucker)和泽姆林(Zemlin)的经典著作,通过使用代表访问节点的等级顺序的其他变量集,提出了一种增强的公式表示。此外,我们通过调整“重新配方线性化技术”的部分等级1,研究了STPRBH的新配方。使用一组基准实例展示了广泛的结果,以通过使用通用MIP求解器比较建议的配方。

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