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The ant colony optimization algorithm applied in transport logistics

creativeworkseries.issn1508-2806
dc.contributor.authorOstrowski, Krzysztof
dc.contributor.authorStarzec, Mateusz
dc.contributor.authorStarzec, Grażyna
dc.date.available2025-03-26T08:47:25Z
dc.date.issued2024
dc.description.abstractThe Vehicle Routing Problem belongs to graph optimization and its goal is to find shortest routes visiting a given set of customers with additional constraints present. The article presents the ant colony optimization metaheuristic which solves vehicle routing problems and its real-life application in transport logistics (finding routes for delivery companies). The metaheuristic generated highquality solutions (superior to compared methods). Our tool is flexible and enables us to solve various variants of routing problems so it is well suited to specific needs of transportation companies.en
dc.description.placeOfPublicationKraków
dc.description.versionwersja wydawnicza
dc.identifier.doihttps://doi.org/10.7494/csci.2024.25.3.6360
dc.identifier.eissn2300-7036
dc.identifier.issn1508-2806
dc.identifier.urihttps://repo.agh.edu.pl/handle/AGH/111683
dc.language.isoeng
dc.publisherWydawnictwa AGH
dc.relation.ispartofComputer Science
dc.rightsAttribution 4.0 International
dc.rights.accessotwarty dostęp
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/legalcode
dc.subjectant colony optimizationen
dc.subjectACOen
dc.subjectmetaheuristicen
dc.subjectrouting problemsen
dc.subjecttransport logisticsen
dc.subjectdeliveryen
dc.titleThe ant colony optimization algorithm applied in transport logisticsen
dc.title.relatedComputer Scienceen
dc.typeartykuł
dspace.entity.typePublication
publicationissue.issueNumberNo. 3
publicationissue.paginationpp. 331-350
publicationvolume.volumeNumberVol. 25
relation.isJournalIssueOfPublication6c5e37e1-07bc-41d3-8efc-dc05e09d36cc
relation.isJournalIssueOfPublication.latestForDiscovery6c5e37e1-07bc-41d3-8efc-dc05e09d36cc
relation.isJournalOfPublication020291ee-249b-4dcf-98a3-276a2f7981aa

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