Solving a distribution network design problem by combining ant colony systems and Lagrangian relaxation

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dc.contributor.authorLagos, C.es_ES
dc.contributor.authorParedes, F.es_ES
dc.contributor.authorNiklander, S.es_ES
dc.contributor.authorCabrera, E.es_ES
dc.date.accessioned6/22/2022 13:33
dc.date.accessioned2022-09-30T16:31:43Z
dc.date.available6/22/2022 13:33
dc.date.available2022-09-30T16:31:43Z
dc.date.issued2015
dc.description.abstractDistribution network design (DND) attempts to integrate tactical issues such as inventory policies and/or vehicle routing decisions with strategic ones such as the problem of locating facilities and allocate customers to such facilities. When inventory policy decision making is considered the problem is also known as inventory location modelling (ILM) problem. During the last two decades, mathematical programming as well as (meta-)heuristic approaches have been considered to address different DND problem. In this article we consider a hybrid algorithm of Lagrangian Relaxation and artificial ants to solve an ILM problem previously proposed in the literature. We use ACS to allocate customers to a subset of warehouses that is previously generated by the Lagrangian relaxation. Results show that the hybrid approach is quite competitive, obtaining near-optimal solutions within an acceptable time. © ICI Bucharest 2010 -2015.es_ES
dc.formatapplication/pdfes_ES
dc.identifier.doi10.24846/v24i3y201502es_ES
dc.identifier.urihttps://doi.org/10.24846/v24i3y201502
dc.language.isoenges_ES
dc.publisherNational Institute for R and D in Informaticses_ES
dc.rightsinfo:eu-repo/semantics/closedAccesses_ES
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/es_ES
dc.sourceStudies in Informatics and Controles_ES
dc.subjectComputer Sciencees_ES
dc.subjectEngineeringes_ES
dc.subject.ocdehttp://purl.org/pe-repo/ocde/ford#1.02.01es_ES
dc.titleSolving a distribution network design problem by combining ant colony systems and Lagrangian relaxationes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
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