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dc.contributor.authorTorres, Isis
dc.contributor.authorCruz Corona, Carlos Alberto 
dc.contributor.authorVerdegay Galdeano, José Luis 
dc.date.accessioned2024-10-17T10:19:15Z
dc.date.available2024-10-17T10:19:15Z
dc.date.issued2015-08-01
dc.identifier.citationTorres, I., Cruz, C. & Verdegay, J.L. Solving the Truck and Trailer Routing Problem with Fuzzy Constraints. Int J Comput Intell Syst 8, 713–724 (2015). https://doi.org/10.1080/18756891.2015.1046330es_ES
dc.identifier.urihttps://hdl.handle.net/10481/96064
dc.description.abstractThe Truck and Trailer Routing Problem consists of a heterogeneous fleet composed of trucks and trailers to serve a set of customers. This problem has been solved previously considering accurate data available. But in a real-world the available knowledge about some data and parameters involves a vague nature. In this study, we propose the application of the Soft Computing to model and solve the TTRP when capacity constraints are imprecise. Numerical examples are presented to illustrate the proposed method.es_ES
dc.description.sponsorshipProject P11-TIC-8001 from the Andalusian Government (including FEDER funds)es_ES
dc.description.sponsorshipProject TIN2011-27696-C02-01 from Spanish Ministry of Economy and Competitivenesses_ES
dc.description.sponsorshipPYR 2014-9 GENIL Program from CEI BioTIC Granada, University fo Granadaes_ES
dc.language.isoenges_ES
dc.publisherSpringer Naturees_ES
dc.rightsAtribución-NoComercial 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectTruck and Trailer Routing Problemes_ES
dc.subjectFuzzy constraintses_ES
dc.subjectSoft Computinges_ES
dc.titleSolving the Truck and Trailer Routing Problem with Fuzzy Constraintses_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.1080/18756891.2015.1046330
dc.type.hasVersionVoRes_ES


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