Bi-objective green vehicle routing problem

dc.contributor.author Kazım Erdoǧdu
dc.contributor.author Korhan Karabulut
dc.date.accessioned 2025-10-06T17:49:59Z
dc.date.issued 2022
dc.description.abstract The green vehicle routing problem (GVRP) is a variant of the vehicle routing problem (VRP) which increasingly attracts many researchers in recent years due to the growing global environmental issues. As the transportation of the products grows the number of vehicles in fleets and the pollutants caused by these vehicles also grow which in turn negatively affects human health. In this paper a biobjective GVRP was studied. The two objectives are minimizing the total distance and minimizing the total fuel consumption of all vehicle routes. As a solution method an adaptive large neighborhood search was hybridized with two new local search heuristics. The proposed method was applied to two well-known benchmark problem sets for VRPs and new approximate Pareto fronts were obtained for these benchmark sets. © 2021 Elsevier B.V. All rights reserved.
dc.identifier.doi 10.1111/itor.13044
dc.identifier.issn 14753995, 09696016
dc.identifier.issn 0969-6016
dc.identifier.issn 1475-3995
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112478667&doi=10.1111%2Fitor.13044&partnerID=40&md5=97732fdab3c4c2757c48fb2767ab8cd6
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/8725
dc.language.iso English
dc.publisher John Wiley and Sons Inc
dc.relation.ispartof International Transactions in Operational Research
dc.source International Transactions in Operational Research
dc.subject Adaptive Large Neighborhood Algorithm, Evolutionary Algorithms, Green Vehicle Routing Problem, Multiobjective Algorithms, Multiobjective Optimization Problem, Heuristic Algorithms, Heuristic Methods, Optimization, Vehicles, Adaptive Large Neighborhood Searches, Bench-mark Problems, Environmental Issues, Local Search Heuristics, Number Of Vehicles, Solution Methods, Vehicle Routing Problem, Vehicle Routing Problems, Vehicle Routing
dc.subject Heuristic algorithms, Heuristic methods, Optimization, Vehicles, Adaptive large neighborhood searches, Bench-mark problems, Environmental issues, Local search heuristics, Number of vehicles, Solution methods, Vehicle routing problem, Vehicle Routing Problems, Vehicle routing
dc.title Bi-objective green vehicle routing problem
dc.type Article
dspace.entity.type Publication
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gdc.bip.influenceclass C4
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gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.endpage 1626
gdc.description.startpage 1602
gdc.description.volume 29
gdc.identifier.openalex W3195548603
gdc.index.type Scopus
gdc.oaire.diamondjournal false
gdc.oaire.impulse 15.0
gdc.oaire.influence 3.1728262E-9
gdc.oaire.isgreen false
gdc.oaire.keywords adaptive large neighborhood algorithm
gdc.oaire.keywords multiobjective optimization problem
gdc.oaire.keywords evolutionary algorithms
gdc.oaire.keywords multiobjective algorithms
gdc.oaire.keywords Operations research, mathematical programming
gdc.oaire.keywords green vehicle routing problem
gdc.oaire.popularity 1.8383695E-8
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0211 other engineering and technologies
gdc.oaire.sciencefields 02 engineering and technology
gdc.openalex.collaboration National
gdc.openalex.fwci 2.3722
gdc.openalex.normalizedpercentile 0.9
gdc.opencitations.count 19
gdc.plumx.crossrefcites 9
gdc.plumx.mendeley 30
gdc.plumx.scopuscites 22
oaire.citation.endPage 1626
oaire.citation.startPage 1602
person.identifier.scopus-author-id Erdoǧdu- Kazım (57194068583), Karabulut- Korhan (17346083500)
publicationissue.issueNumber 3
publicationvolume.volumeNumber 29
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relation.isOrgUnitOfPublication.latestForDiscovery ac5ddece-c76d-476d-ab30-e4d3029dee37

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