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The directed profitable rural postman problem with incompatibility constraints

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The directed profitable rural postman problem with incompatibility constraints

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dc.contributor.author Colombi, Marco es_ES
dc.contributor.author Corberan, Angel es_ES
dc.contributor.author Mansini, Renata es_ES
dc.contributor.author Plana, Isaac es_ES
dc.contributor.author Sanchís Llopis, José María es_ES
dc.date.accessioned 2018-09-17T07:16:50Z
dc.date.available 2018-09-17T07:16:50Z
dc.date.issued 2017 es_ES
dc.identifier.issn 0377-2217 es_ES
dc.identifier.uri http://hdl.handle.net/10251/107369
dc.description.abstract [EN] In this paper, we study a variant of the directed rural postman problem (RPP) where profits are asso- ciated with arcs to be served, and incompatibility constraints may exist between nodes and profitable arcs leaving them. If convenient, some of the incompatibilities can be removed provided that penalties are paid. The problem looks for a tour starting and ending at the depot that maximizes the difference between collected profits and total cost as sum of traveling costs and paid penalties, while satisfying remaining incompatibilities. The problem finds application in the domain of road transportation service, and in particular in the context of horizontal collaboration among carriers and shippers. We call this problem the directed profitable rural postman problem with incompatibility constraints. We propose two problem formulations and introduce a matheuristic procedure exploiting the presence of a variant of the generalized independent set problem (GISP) and of the directed rural postman problem (DRPP) as sub- problems. Computational results show how the matheuristic is effective outperforming in many cases the result obtained in one hour computing time by a straightforward branch-and-cut approach implemented with IBM CPLEX 12.6.2 on instances with up to 500 nodes, 1535 arcs, 1132 profitable arcs, and 10,743 incompatibilities. es_ES
dc.description.sponsorship The work by Angel Corberan, Isaac Plana, and Jose M. Sanchis was supported by the Spanish Ministerio de Economia y Competitividad and Fondo Europeo de Desarrollo Regional (FEDER) through project MTM2015-68097-P (MINECO/FEDER) and by the Generalitat Valenciana (project GVPROMETE02013-049). es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof European Journal of Operational Research es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Routing es_ES
dc.subject Rural postman problem es_ES
dc.subject Incompatibility constraints es_ES
dc.subject Generalized independent set problem es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.title The directed profitable rural postman problem with incompatibility constraints es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.ejor.2017.02.002 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//MTM2015-68097-P/ES/MODELOS Y ALGORITMOS PARA PROBLEMAS DE RUTAS DE VEHICULOS Y DE LOCALIZACION DE SERVICIOS/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//PROMETEO%2F2013%2F049/ES/Modelos y algoritmos para problemas de optimización combinatoria/ es_ES
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada es_ES
dc.description.bibliographicCitation Colombi, M.; Corberan, A.; Mansini, R.; Plana, I.; Sanchís Llopis, JM. (2017). The directed profitable rural postman problem with incompatibility constraints. European Journal of Operational Research. 261(2):549-562. https://doi.org/10.1016/j.ejor.2017.02.002 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.ejor.2017.02.002 es_ES
dc.description.upvformatpinicio 549 es_ES
dc.description.upvformatpfin 562 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 261 es_ES
dc.description.issue 2 es_ES
dc.relation.pasarela S\342979 es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
dc.contributor.funder Generalitat Valenciana es_ES


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