1. Açık Erişim@BUU
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Please use this identifier to cite or link to this item: http://hdl.handle.net/11452/29955
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dc.date.accessioned2022-12-19T11:27:49Z-
dc.date.available2022-12-19T11:27:49Z-
dc.date.issued2016-
dc.identifier.citationEne, S. vd. (2016). "A hybrid metaheuristic algorithm for the green vehicle routing problem with a heterogeneous fleet". International Journal of Vehicle Design, 71(1-4), Special Issue, 75-102.en_US
dc.identifier.issn0143-3369-
dc.identifier.issn1741-5314-
dc.identifier.urihttps://doi.org/10.1504/IJVD.2016.078771-
dc.identifier.urihttps://www.inderscienceonline.com/doi/abs/10.1504/IJVD.2016.078771-
dc.identifier.urihttp://hdl.handle.net/11452/29955-
dc.descriptionBu çalışma, 26–27 Mayıs 2014 tarihleri arasında Bursa[Türkiye]’ da düzenlenen Green vehicle routing optimization with heterogeneous fleet’ presented at 7. Automotive Technologies Congress Kongresi‘nde bildiri olarak sunulmuştur.tr_TR
dc.description.abstractIn this study, the green vehicle routing problem (GVRP) with a heterogeneous fleet is presented for both capacity and time-windows constraints to reduce fuel consumption and consequently to minimise CO2 emissions. A hybrid metaheuristic algorithm (HMA) is developed to solve this problem to analyse the effect of a heterogeneous fleet on reducing the fuel consumption for the specified variants of GVRP, such as GVRP with capacity constraints and GVRP with time-windows constraints. The proposed HMA is validated using well-known instances with different numbers of customers and fleet configurations. The computational results indicated that the HMA is capable of obtaining good results for GVRP variants within a reasonable amount of time by providing remarkable reductions in fuel consumption and greener fleet configurations.en_US
dc.language.isoenen_US
dc.publisherInderscience Enterprisesen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectEngineeringen_US
dc.subjectTransportationen_US
dc.subjectGreen vehicle routingen_US
dc.subjectHeterogeneous fleeten_US
dc.subjectFuel consumptionen_US
dc.subjectHMAen_US
dc.subjectHybrid metaheuristic algorithmen_US
dc.subjectTabu searchen_US
dc.subjectSimulated annealingen_US
dc.subjectSimulated annealing algorithmen_US
dc.subjectScheduling problemsen_US
dc.subjectComputational resultsen_US
dc.subjectTabu searchen_US
dc.subjectOptimizationen_US
dc.subjectHeuristicsen_US
dc.subjectModelen_US
dc.subjectDepoten_US
dc.subjectTrucken_US
dc.subjectFuelsen_US
dc.subjectRouting algorithmsen_US
dc.subjectSimulated annealingen_US
dc.subjectTabu searchen_US
dc.subjectVehicle routingen_US
dc.subjectVehiclesen_US
dc.subjectCapacity constraintsen_US
dc.subjectCO2 emissionsen_US
dc.subjectHeterogeneous fleeten_US
dc.subjectHybrid metaheuristic algorithmsen_US
dc.subjectTime windowsen_US
dc.subjectVehicle routing problemsen_US
dc.subjectFleet operationsen_US
dc.titleA hybrid metaheuristic algorithm for the green vehicle routing problem with a heterogeneous fleeten_US
dc.typeArticleen_US
dc.identifier.wos000387870300005tr_TR
dc.identifier.scopus2-s2.0-84986222837tr_TR
dc.relation.publicationcategoryKonferans Öğesi - Uluslararasıtr_TR
dc.contributor.departmentUludağ Üniversitesi/Mühendislik Fakültesi/Endüstri Mühendisliği Bölümü.tr_TR
dc.relation.bapKUAP(M)-2012/53en_US
dc.contributor.orcid0000-0002-2971-2701tr_TR
dc.contributor.orcid0000-0002-5075-0876tr_TR
dc.identifier.startpage75tr_TR
dc.identifier.endpage102tr_TR
dc.identifier.volume71tr_TR
dc.identifier.issue1-4, Special Issueen_US
dc.relation.journalInternational Journal of Vehicle Designen_US
dc.contributor.buuauthorEne, Seval-
dc.contributor.buuauthorKüçükoğlu, İlker-
dc.contributor.buuauthorAksoy, Aslı-
dc.contributor.buuauthorÖztürk, Nursel-
dc.contributor.researcheridD-8543-2015tr_TR
dc.contributor.researcheridAAG-8949-2021tr_TR
dc.contributor.researcheridAAG-9336-2021tr_TR
dc.contributor.researcheridAAG-9235-2021tr_TR
dc.subject.wosEngineering, mechanicalen_US
dc.subject.wosTransportation science & technologyen_US
dc.indexed.wosSCIEen_US
dc.indexed.scopusScopusen_US
dc.indexed.pubmedPubMeden_US
dc.wos.quartileQ4en_US
dc.contributor.scopusid48461146800tr_TR
dc.contributor.scopusid55763879600tr_TR
dc.contributor.scopusid35221094400tr_TR
dc.contributor.scopusid7005688805tr_TR
dc.subject.scopusVehicle Routing Problem; Route; Fuel Consumptionen_US
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