Upgrading edges in the maximal covering location problem

Marta Baldomero-Naranjo, Jörg Kalcsics, Alfredo Marín, Antonio M. Rodríguez-Chía
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Abstract

We study the upgrading version of the maximal covering location problem with edge length modifications on networks. This problem aims at locating p facilities on the vertices (of the network) so as to maximise coverage, considering that the length of the edges can be reduced at a cost, subject to a given budget. Hence, we have to decide on: the optimal location of p facilities and the optimal edge length reductions. This problem is NP-hard on general graphs. To solve it, we propose three different mixed-integer formulations and a preprocessing phase for fixing variables and removing some of the constraints. Moreover, we strengthen the proposed formulations including valid inequalities. Finally, we compare the three formulations and their corresponding improvements by testing their performance over different datasets.
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最大覆盖位置问题中的边缘升级
我们研究的是网络上最大覆盖位置问题的升级版,该问题具有边长修正功能。该问题旨在确定(网络的)顶点上 p 个设施的位置,以便最大化覆盖范围,同时考虑到在给定预算的条件下,可以有代价地缩短边长。因此,我们必须决定:p 个设施的最优位置和最优边长缩减。在一般图上,这个问题很难解决。为了解决这个问题,我们提出了三种不同的混合整数公式和一个预处理阶段,用于固定变量和移除一些约束条件。此外,我们还加强了包含有效不等式的拟议公式。最后,我们通过对不同数据集的性能测试,比较了这三种公式及其相应的改进。
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