Solving a distribution network design problem by means of evolutionary algorithms

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dc.contributor.authorCabrera, G.es_ES
dc.contributor.authorNiklander, S.es_ES
dc.contributor.authorCabrera, E.es_ES
dc.contributor.authorJohnson, F.es_ES
dc.date.accessioned6/22/2022 13:33
dc.date.accessioned2022-09-30T16:49:30Z
dc.date.available6/22/2022 13:33
dc.date.available2022-09-30T16:49:30Z
dc.date.issued2016
dc.description.abstractIn this paper a simple and efficient evolutionary algorithm is implemented to solve a Distribution Network Design problem (DND). The DND problem that we address here integrates inventory policies with location/allocation decision making. This problem, also known as Inventory Location Modeling problem, is a complex combinatorial optimization problem that cannot be solved by exact methods as the number of decision variables increases. We compare our algorithm to previously implemented algorithms. Our evolutionary approach is shown to be very competitive in terms of both objective function value and execution time. © 2017, All Rights Reserved.es_ES
dc.formatapplication/pdfes_ES
dc.identifier.urihttps://sic.ici.ro/vol-25-no-1-2016/solving-a-distribution-network-design-problem-by-means-of-evolutionary-algorithms/es_PE
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 means of evolutionary algorithmses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
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