Show simple item record

dc.creatorFranco, Carlos 
dc.creatorLópez-Santana E.R. 
dc.creatorFigueroa-García J.C. 
dc.date.accessioned2020-05-26T00:05:03Z
dc.date.available2020-05-26T00:05:03Z
dc.date.created2017
dc.identifier.issn18650929
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/23748
dc.description.abstractIn this paper, we present a genetic algorithm embedded with mathematical optimization to solve a green inventory routing problem with interval fuel consumption. Using the idea of column generation in which only attractive routes are generated to the mathematical problem, we develop a genetic algorithm that allow us to determine speedily attractive routes that are connected to a mathematical model. We code our genetic algorithm using the idea of a integer number that represents all the feasible set of routes in which the maximum number allowed is the binary number that represents if a customer is visited or not. We approximate the fuel consumption as an interval number in which we want to minimize the overall fuel consumption of distribution. This is the first approximation made in the literature using this type of methodology so we cannot compare our approach with those used in the literature. © 2017, Springer International Publishing AG.
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.relation.ispartofCommunications in Computer and Information Science, ISSN:18650929, Vol.742,(2017); pp. 556-564
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85030033946&doi=10.1007%2f978-3-319-66963-2_49&partnerID=40&md5=e59d6f26974ace3b38ff2da53e0ce129
dc.titleSolving the interval green inventory routing problem using optimization and genetic algorithms
dc.typeconferenceObject
dc.publisherSpringer Verlag
dc.subject.keywordFuels
dc.subject.keywordGenetic algorithms
dc.subject.keywordLinear programming
dc.subject.keywordRouting algorithms
dc.subject.keywordColumn generation
dc.subject.keywordInteger numbers
dc.subject.keywordInterval number
dc.subject.keywordInterval optimization
dc.subject.keywordInventory routing problems
dc.subject.keywordMathematical optimizations
dc.subject.keywordMathematical problems
dc.subject.keywordOptimization and genetic algorithms
dc.subject.keywordOptimization
dc.subject.keywordGenetic algorithms
dc.subject.keywordGreen inventory routing problem
dc.subject.keywordInterval optimization
dc.subject.keywordOptimization
dc.rights.accesRightsinfo:eu-repo/semantics/openAccess
dc.type.spaDocumento de conferencia
dc.rights.accesoAbierto (Texto Completo)
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.identifier.doihttps://doi.org/10.1007/978-3-319-66963-2_49
dc.relation.citationEndPage564
dc.relation.citationStartPage556
dc.relation.citationTitleCommunications in Computer and Information Science
dc.relation.citationVolumeVol. 742
dc.source.instnameinstname:Universidad del Rosario
dc.source.reponamereponame:Repositorio Institucional EdocUR


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record