Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/25101
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dc.contributor.authorShen, Yindongen_UK
dc.contributor.authorLi, Jingpengen_UK
dc.contributor.authorPeng, Kunkunen_UK
dc.date.accessioned2017-03-07T22:22:19Z-
dc.date.available2017-03-07T22:22:19Z-
dc.date.issued2017en_UK
dc.identifier.urihttp://hdl.handle.net/1893/25101-
dc.description.abstractPublic transport driver scheduling is a process of selecting a set of duties for the drivers of vehicles to form a number of legal driver shifts. The problem usually has two objectives which are minimising both the total number of shifts and the total shift cost, while taking into account some constraints related to labour and company rules. A commonly used approach is firstly to generate a large set of feasible shifts by domain-specific heuristics, and then to select a subset to form the final schedule by an integer programming method. This paper presents an estimation of distribution algorithm (EDA) to deal with the subset selection problem which is NP-hard. To obtain a candidate schedules, the EDA applies a number of rules, with each rule corresponding to a particular way of selecting a shift. Computational results from some real-world instances of drive scheduling demonstrate the availability of this approach.en_UK
dc.language.isoenen_UK
dc.publisherInderscienceen_UK
dc.relationShen Y, Li J & Peng K (2017) An estimation of distribution algorithm for public transport driver scheduling. International Journal of Operational Research, 28 (2), pp. 245-262. https://doi.org/10.1504/IJOR.2017.081483en_UK
dc.rightsThe publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.en_UK
dc.rights.urihttp://www.rioxx.net/licenses/under-embargo-all-rights-reserveden_UK
dc.subjectmetaheuristicsen_UK
dc.subjectestimation of distribution algorithmen_UK
dc.subjectEDAen_UK
dc.subjectBayesian networksen_UK
dc.subjectdriver schedulingen_UK
dc.subjectpublic transporten_UK
dc.subjectlegal driver shiftsen_UK
dc.titleAn estimation of distribution algorithm for public transport driver schedulingen_UK
dc.typeJournal Articleen_UK
dc.rights.embargodate2999-12-13en_UK
dc.rights.embargoreason[IJOR2017.pdf] The publisher does not allow this work to be made publicly available in this Repository therefore there is an embargo on the full text of the work.en_UK
dc.identifier.doi10.1504/IJOR.2017.081483en_UK
dc.citation.jtitleInternational Journal of Operational Researchen_UK
dc.citation.issn1745-7653en_UK
dc.citation.issn1745-7645en_UK
dc.citation.volume28en_UK
dc.citation.issue2en_UK
dc.citation.spage245en_UK
dc.citation.epage262en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.author.emailjli@cs.stir.ac.uken_UK
dc.citation.date12/12/2016en_UK
dc.contributor.affiliationHuazhong University of Science and Technologyen_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.contributor.affiliationHuazhong University of Science and Technologyen_UK
dc.identifier.scopusid2-s2.0-85010380301en_UK
dc.identifier.wtid534506en_UK
dc.contributor.orcid0000-0002-6758-0084en_UK
dc.date.accepted2015-06-28en_UK
dcterms.dateAccepted2015-06-28en_UK
dc.date.filedepositdate2017-03-07en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorShen, Yindong|en_UK
local.rioxx.authorLi, Jingpeng|0000-0002-6758-0084en_UK
local.rioxx.authorPeng, Kunkun|en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.freetoreaddate2999-12-13en_UK
local.rioxx.licencehttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved||en_UK
local.rioxx.filenameIJOR2017.pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source1745-7645en_UK
Appears in Collections:Computing Science and Mathematics Journal Articles

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