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dc.contributor.convenorJun Wangen_AU
dc.contributor.authorPullan, Wayneen_US
dc.contributor.editorZbigniew Michalewiczen_US
dc.date.accessioned2017-04-24T11:12:12Z
dc.date.available2017-04-24T11:12:12Z
dc.date.issued2008en_US
dc.date.modified2009-05-13T07:45:38Z
dc.identifier.doi10.1109/CEC.2008.4630779en_AU
dc.identifier.urihttp://hdl.handle.net/10072/22925
dc.description.abstractThe p-median problem is one of choosing p facilities from a set of candidates to satisfy the demands of n clients such that the overall cost is minimised. In this paper, PBS, a population based hybrid search algorithm for the pmedian problem is introduced. The PBS algorithm uses a genetic algorithm based meta-heuristic, primarily based on cut and paste crossover operators, to generate new starting points for a hybrid local search. For larger p-median instances, PBS is able to effectively utilise a number of computer processors. It is shown empirically that PBS is able to effectively solve p-median problems for a large range of the commonly used p-median benchmark instances.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent320126 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherIEEEen_US
dc.publisher.placeHong Kongen_US
dc.publisher.urihttp://ieeexplore.ieee.org/servlet/opac?punumber=4625778en_AU
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofconferencename2008 IEEE Congress on Evolutionary Computationen_US
dc.relation.ispartofconferencetitleIEEE Congress on Evolutionary Computationen_US
dc.relation.ispartofdatefrom2008-06-01en_US
dc.relation.ispartofdateto2008-06-06en_US
dc.relation.ispartoflocationHong Kongen_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchNeural, Evolutionary and Fuzzy Computationen_US
dc.subject.fieldofresearchcode080108en_US
dc.titleA Population Based Hybrid Metaheuristic for the ρ-median Problemen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.facultyGriffith Sciences, School of Information and Communication Technologyen_US
gro.rights.copyrightCopyright 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_AU
gro.date.issued2008
gro.hasfulltextFull Text


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