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dc.contributor.authorAlemany Giménez, Gabriel-
dc.contributor.authorGarcía Sánchez, Álvaro-
dc.contributor.authorArmas Adrián, Jésica de-
dc.contributor.authorGarcía Meizoso, Roberto-
dc.contributor.authorJuan Pérez, Ángel Alejandro-
dc.contributor.authorOrtega Mier, Miguel-
dc.date.accessioned2019-02-08T11:34:19Z-
dc.date.available2019-02-08T11:34:19Z-
dc.date.issued2016-12-
dc.identifier.citationAlemany, G., Garcia, A., De Armas, J., Garcia, R., Juan, A. & Ortega, M. (2016). Combining Monte Carlo Simulation with Heuristics to Solve a Rich and Real-life Multi-depot Vehicle Routing Problem. Winter Simulation Conference (WSC). Proceedings, 2016 (). 2466-2474. doi: 10.1109/WSC.2016.7822285-
dc.identifier.isbn9781509044863-
dc.identifier.issn1558-4305MIAR
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dc.identifier.urihttp://hdl.handle.net/10609/91513-
dc.description.abstractThis paper presents an optimization approach which integrates Monte Carlo simulation (MCS) within a heuristic algorithm in order to deal with a rich and real-life vehicle routing problem. A set of customers' orders must be delivered from different depots and using a heterogeneous fleet of vehicles. Also, since the capacity of the firm's depots is limited, some vehicles might need to be replenished using external tanks. The MCS component, which is based on the use of a skewed probability distribution, allows to transform a deterministic heuristic into a probabilistic procedure. The geometric distribution is used to guide the local search process during the generation of high-quality solutions. The efficiency of our approach is tested against a real-world instance. The results show that our algorithm is capable of providing noticeable savings in short computing times.en
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherWinter Simulation Conference (WSC). Proceedings-
dc.relation.ispartofWinter Simulation Conference (WSC). Proceedings, 2016-
dc.relation.ispartofseriesWinter Simulation Conference, Washington, DC., EUA, 11-14, desembre de 2016-
dc.relation.urihttps://ieeexplore.ieee.org/document/7822285-
dc.relation.urihttps://www.informs-sim.org/wsc16papers/215.pdf-
dc.rights(c) Author/s & (c) Journal-
dc.subjectvehicle routingen
dc.subjectruta para vehículoses
dc.subjectruta per a vehiclesca
dc.subjectMonte Carlo methodsen
dc.subjectmètodes Monte Carloca
dc.subjectmétodos Monte Carloes
dc.subjectoptimisationen
dc.subjectoptimizaciónes
dc.subjectoptimitzacióca
dc.subjectgoods distributionen
dc.subjectdistribución de productoses
dc.subjectdistribució de productesca
dc.subjectorder processingen
dc.subjecttramitación del pedidoes
dc.subjecttramitació de la comandaca
dc.subjectstatistical distributionsen
dc.subjectdistribuciones estadísticases
dc.subjectdistribucions estadístiquesca
dc.subject.lcshAlgorithmsen
dc.titleCombining Monte Carlo simulation with heuristics to solve a rich and real-life multi-depot vehicle routing problem-
dc.typeinfo:eu-repo/semantics/conferenceObject-
dc.audience.mediatorTheme areasen
dc.subject.lemacAlgorismesca
dc.subject.lcshesAlgoritmoses
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccess-
dc.identifier.doi10.1109/WSC.2016.7822285-
dc.gir.idCO/0000003720-
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