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Upgrading edges in the maximal covering location problem

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URI: http://hdl.handle.net/10498/26922

DOI: 10.1016/j.ejor.2022.02.001

ISSN: 0377-2217

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APC_2022_014.pdf (1018.Kb)
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Author/s
Baldomero Naranjo, MartaAuthority UCA; Kalcsics, Jörg; Marín, Alfredo; Rodríguez Chía, Antonio ManuelAuthority UCA
Date
2022
Department
Estadística e Investigación Operativa
Source
European Journal of Operational Research 303 (2022) 14–36
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. © 2022 The Author(s)
Subjects
Location; Covering problems; Networks; Upgrading problems; Integer programming
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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
This work is under a Creative Commons License Attribution-NonCommercial-NoDerivatives 4.0 Internacional

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