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A hybrid metaheuristic algorithm for the green vehicle routing problem with a heterogeneous fleet

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dc.contributor.buuauthorEne, Seval
dc.contributor.buuauthorKüçükoğlu, İlker
dc.contributor.buuauthorAksoy, Aslı
dc.contributor.buuauthorÖztürk, Nursel
dc.contributor.departmentMühendislik Fakültesi
dc.contributor.departmentEndüstri Mühendisliği Bölümü
dc.contributor.orcid0000-0002-2971-2701
dc.contributor.orcid0000-0002-5075-0876
dc.contributor.researcheridD-8543-2015
dc.contributor.researcheridAAG-8949-2021
dc.contributor.researcheridAAG-9336-2021
dc.contributor.researcheridAAG-9235-2021
dc.contributor.scopusid48461146800
dc.contributor.scopusid55763879600
dc.contributor.scopusid35221094400
dc.contributor.scopusid7005688805
dc.date.accessioned2022-12-19T11:27:49Z
dc.date.available2022-12-19T11:27:49Z
dc.date.issued2016
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.
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.
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.
dc.identifier.endpage102
dc.identifier.issn0143-3369
dc.identifier.issn1741-5314
dc.identifier.issue1-4, Special Issue
dc.identifier.scopus2-s2.0-84986222837
dc.identifier.startpage75
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.identifier.volume71
dc.identifier.wos000387870300005
dc.indexed.wosSCIE
dc.language.isoen
dc.publisherInderscience Enterprises
dc.relation.bapKUAP(M)-2012/53
dc.relation.journalInternational Journal of Vehicle Design
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectEngineering
dc.subjectTransportation
dc.subjectGreen vehicle routing
dc.subjectHeterogeneous fleet
dc.subjectFuel consumption
dc.subjectHMA
dc.subjectHybrid metaheuristic algorithm
dc.subjectTabu search
dc.subjectSimulated annealing
dc.subjectSimulated annealing algorithm
dc.subjectScheduling problems
dc.subjectComputational results
dc.subjectTabu search
dc.subjectOptimization
dc.subjectHeuristics
dc.subjectModel
dc.subjectDepot
dc.subjectTruck
dc.subjectFuels
dc.subjectRouting algorithms
dc.subjectSimulated annealing
dc.subjectTabu search
dc.subjectVehicle routing
dc.subjectVehicles
dc.subjectCapacity constraints
dc.subjectCO2 emissions
dc.subjectHeterogeneous fleet
dc.subjectHybrid metaheuristic algorithms
dc.subjectTime windows
dc.subjectVehicle routing problems
dc.subjectFleet operations
dc.subject.scopusVehicle Routing Problem; Route; Fuel Consumption
dc.subject.wosEngineering, mechanical
dc.subject.wosTransportation science & technology
dc.titleA hybrid metaheuristic algorithm for the green vehicle routing problem with a heterogeneous fleet
dc.typeArticle
dc.wos.quartileQ4
dspace.entity.typePublication
local.contributor.departmentMühendislik Fakültesi/Endüstri Mühendisliği Bölümü
local.indexed.atScopus
local.indexed.atWOS

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