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dc.contributor.authorHemmati, Ahmad
dc.contributor.authorHvattum, Lars Magnus
dc.contributor.authorFagerholt, Kjetil
dc.contributor.authorNorstad, Inge
dc.date.accessioned2017-10-03T07:21:14Z
dc.date.available2017-10-03T07:21:14Z
dc.date.created2015-01-08T15:42:02Z
dc.date.issued2014-07-01
dc.identifier.citationINFOR. Information systems and operational research. 2014, 52 (1), 28-38.nb_NO
dc.identifier.issn0315-5986
dc.identifier.urihttp://hdl.handle.net/11250/2457887
dc.description.abstractThis paper considers a class of cargo ship routing and scheduling problems from industrial and tramp shipping and presents a wide range of benchmark instances that have been created to represent realistic planning problems for various shipping segments. Initial results for the benchmark instances are provided both through exact and heuristic methods. Optimal solutions to smaller problem instances are provided by a commercial mixed-integer programming solver, and high-quality solutions to larger problem instances are provided by a state-of-the-art adaptive large neighborhood search heuristic. The provided benchmark instances, as well as an instance generator, intend to stimulate future development of solution algorithms for this important planning problem, and to provide a basis for modelling and solving various real-life problem extensions that go beyond what is included in the benchmark instances.nb_NO
dc.language.isoengnb_NO
dc.publisherTaylor & Francis Online; University of Toronto Pressnb_NO
dc.subjectMaritime transportationnb_NO
dc.subjectInstance generationnb_NO
dc.subjectPick-up and deliverynb_NO
dc.subjectAdaptive large neighborhood searchnb_NO
dc.titleBenchmark Suite for Industrial and Tramp Ship Routing and Scheduling Problemsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.rights.holderCopyright © 2014 University of Toronto Pressnb_NO
dc.source.pagenumber28-38nb_NO
dc.source.volume52nb_NO
dc.source.journalINFOR. Information systems and operational researchnb_NO
dc.source.issue1nb_NO
dc.identifier.doi10.3138/infor.52.1.28
dc.identifier.cristin1193386
dc.relation.projectNorges forskningsråd: 205298nb_NO
cristin.unitcode7566,7,0,0
cristin.unitnameMaritim
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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