Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/11847
DC FieldValueLanguage
dc.contributorDepartment of Applied Mathematics-
dc.creatorLeung, TW-
dc.creatorChan, CK-
dc.creatorTroutt, MD-
dc.date.accessioned2015-06-23T09:06:22Z-
dc.date.available2015-06-23T09:06:22Z-
dc.identifier.issn1547-5816-
dc.identifier.urihttp://hdl.handle.net/10397/11847-
dc.language.isoenen_US
dc.publisherAmerican Institute of Mathematical Sciencesen_US
dc.subjectGenetic algorithmen_US
dc.subjectJoint Replenishment Inventory Problemsen_US
dc.subjectMeta-heuristicsen_US
dc.subjectMulti-buyer extensionen_US
dc.subjectSimulated annealingen_US
dc.titleA mixed simulated annealing-genetic algorithm approach to the multi-buyer multi-item joint replenishment problem : advantages of meta-heuristicsen_US
dc.typeConference Paperen_US
dc.identifier.spage53-
dc.identifier.epage66-
dc.identifier.volume4-
dc.identifier.issue1-
dcterms.bibliographicCitationJournal of industrial and management optimization, 2008, v. 4, no. 1, p. 53-66-
dcterms.isPartOfJournal of industrial and management optimization-
dcterms.issued2008-
dc.identifier.isiWOS:000254122700005-
dc.identifier.scopus2-s2.0-56649102107-
dc.identifier.eissn1553-166X-
dc.identifier.rosgroupidr37674-
dc.description.ros2007-2008 > Academic research: refereed > Publication in refereed journal-
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