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On hub location problems in geographically flexible networks
dc.contributor.author | Blanco Izquierdo, Víctor | |
dc.contributor.author | Puerto, Justo | |
dc.date.accessioned | 2021-06-01T10:59:49Z | |
dc.date.available | 2021-06-01T10:59:49Z | |
dc.date.issued | 2021-05-19 | |
dc.identifier.citation | Blanco, V. and Puerto, J. (2021), On hub location problems in geographically flexible networks. Intl. Trans. in Op. Res.. [https://doi.org/10.1111/itor.12993] | es_ES |
dc.identifier.uri | http://hdl.handle.net/10481/68972 | |
dc.description | The authors were partially supported by research groups SEJ-584 and FQM-331 (Junta de Andalucia) and projects MTM2016-74983-C02-01 (Spanish Ministry of Education and Science/FEDER), FEDER-US-1256951, P18-FR-1422, P18-FR-2369 (Junta de Andalucia), CEI-3FQM331 (Andalucia Tech), and NetmeetData (Fundacion BBVA - Big Data 2019). We also would like to acknowledge Elena Fernandez (Universidad de Cadiz) for her useful and detailed comments on previous versions of this manuscript. | es_ES |
dc.description.abstract | In this paper, we propose an extension of the uncapacitated hub location problem where the potential positions of the hubs are not fixed in advance. Instead, they are allowed to belong to a region around an initial discrete set of nodes. We give a general framework in which the collection, transportation, and distribution costs are based on norm-based distances and the hub-activation setup costs depend not only on the location of the hub that are opened but also on the size of the region where they are placed. Two alternative mathematical programming formulations are proposed. The first one is a compact formulation while the second one involves a family of constraints of exponential size that we separate efficiently giving rise to a branch-and-cut algorithm. The results of an extensive computational experience are reported showing the advantages of each of the approaches. | es_ES |
dc.description.sponsorship | Junta de Andalucia SEJ-584 FQM-331 FEDER-US-1256951 P18-FR-1422 P18-FR-2369 | es_ES |
dc.description.sponsorship | Spanish Government European Commission MTM2016-74983-C02-01 | es_ES |
dc.description.sponsorship | Andalucia Tech CEI-3FQM331 | es_ES |
dc.description.sponsorship | NetmeetData (Fundacion BBVA - Big Data 2019) | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Wiley-Blackwell Publishing | es_ES |
dc.rights | Atribución-NoComercial-SinDerivadas 3.0 España | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.subject | Hub location | es_ES |
dc.subject | Mixed integer nonlinear programming | es_ES |
dc.subject | Neighborhoods | es_ES |
dc.subject | Network design | es_ES |
dc.title | On hub location problems in geographically flexible networks | es_ES |
dc.type | journal article | es_ES |
dc.rights.accessRights | open access | es_ES |
dc.identifier.doi | 10.1111/itor.12993 | |
dc.type.hasVersion | VoR | es_ES |