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dc.contributor.authorDemir, Hasibe Berfu
dc.contributor.authorPekel Özmen, Ebru
dc.contributor.authorEsnaf, Sakir
dc.date.accessioned2023-02-20T10:10:18Z
dc.date.available2023-02-20T10:10:18Z
dc.date.issued2022-10-21
dc.identifier.citationADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 11 (2022)
dc.identifier.issn2255-2863
dc.identifier.urihttp://hdl.handle.net/10366/151978
dc.description.abstractVehicle routing problem (VRP); it is defined as the problem of planning the best distribution or collection routes of the vehicles assigned to serve the scattered centers from one or more warehouses in order to meet the demands of the customers. Vehicle routing problem has been a kind of problem in which various studies have been done in recent years. Many vehicle routing problems include scheduling visits to customers who are available during certain time windows. These problems are known as vehicle routing problems with time windows (VRPTWs). In this study, a tabu search optimization is proposed for the solution of time window vehicle routing problem (VRPTWs). The results were compared with the current situation and the results were interpreted.
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherEdiciones Universidad de Salamanca (España)
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectvehicle routing problem
dc.subjecttabu search optimization
dc.subjecttime window
dc.titleTime-Windowed Vehicle Routing Problem: Tabu Search Algorithm Approach
dc.typeinfo:eu-repo/semantics/article
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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