Saved in:
Bibliographic Details
Main Authors: Baldomero-Naranjo, Marta, Kalcsics, Jörg, Marín, Alfredo, Rodríguez-Chía, Antonio M.
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2409.11883
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866916399632351232
author Baldomero-Naranjo, Marta
Kalcsics, Jörg
Marín, Alfredo
Rodríguez-Chía, Antonio M.
author_facet Baldomero-Naranjo, Marta
Kalcsics, Jörg
Marín, Alfredo
Rodríguez-Chía, Antonio M.
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2409_11883
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Upgrading edges in the maximal covering location problem
Baldomero-Naranjo, Marta
Kalcsics, Jörg
Marín, Alfredo
Rodríguez-Chía, Antonio M.
Optimization and Control
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.
title Upgrading edges in the maximal covering location problem
topic Optimization and Control
url https://arxiv.org/abs/2409.11883