Please use this identifier to cite or link to this item: https://doi.org/10.1287/trsc.2019.0929
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dc.titleOptimal Solution of Vehicle Routing Problems with Fractional Objective Function
dc.contributor.authorBaldacci, Roberto
dc.contributor.authorLim, Andrew
dc.contributor.authorTraversi, Emiliano
dc.contributor.authorCalvo, Roberto Wolfler
dc.date.accessioned2020-08-17T00:23:31Z
dc.date.available2020-08-17T00:23:31Z
dc.date.issued2020-03-01
dc.identifier.citationBaldacci, Roberto, Lim, Andrew, Traversi, Emiliano, Calvo, Roberto Wolfler (2020-03-01). Optimal Solution of Vehicle Routing Problems with Fractional Objective Function. TRANSPORTATION SCIENCE 54 (2) : 434-452. ScholarBank@NUS Repository. https://doi.org/10.1287/trsc.2019.0929
dc.identifier.issn00411655
dc.identifier.issn15265447
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/172776
dc.description.abstract© 2020 INFORMS. In this paper, we consider the vehicle routing problem (VRP) with fractional objective function. We investigate how the principal techniques used either in the context of fractional programming or in the context of vehicle routing problems interact. We present new dual and primal bounding procedures that have been incorporated in an exact method. The method proposed allows extending specific variants of the VRP to their counterpart with a fractional objective function. Extensive numerical experiments prove the validity of our approach.
dc.language.isoen
dc.publisherINFORMS
dc.sourceElements
dc.subjectScience & Technology
dc.subjectTechnology
dc.subjectOperations Research & Management Science
dc.subjectTransportation
dc.subjectTransportation Science & Technology
dc.subjectprogramming
dc.subjectfractional
dc.subjectinteger
dc.subjecttransportation
dc.subjectvehicle routing
dc.typeArticle
dc.date.updated2020-08-16T03:03:02Z
dc.contributor.departmentINDUSTRIAL SYSTEMS ENGINEERING AND MANAGEMENT
dc.description.doi10.1287/trsc.2019.0929
dc.description.sourcetitleTRANSPORTATION SCIENCE
dc.description.volume54
dc.description.issue2
dc.description.page434-452
dc.published.statePublished
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