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dc.contributor.authorPullan, Wayne
dc.contributor.authorH. Hoos, Holger
dc.date.accessioned2017-05-03T13:58:22Z
dc.date.available2017-05-03T13:58:22Z
dc.date.issued2006
dc.date.modified2008-02-19T06:03:39Z
dc.identifier.issn1076-9757
dc.identifier.urihttp://hdl.handle.net/10072/14393
dc.description.abstractIn this paper, we introduce DLS-MC, a new stochastic local search algorithm for the maximum clique problem. DLS-MC alternates between phases of iterative improvement, during which suitable vertices are added to the current clique, and plateau search, during which vertices of the current clique are swapped with vertices not contained in the current clique. The selection of vertices is solely based on vertex penalties that are dynamically adjusted during the search, and a perturbation mechanism is used to overcome search stagnation. The behaviour of DLS-MC is controlled by a single parameter, penalty delay, which controls the frequency at which vertex penalties are reduced. We show empirically that DLSMC achieves substantial performance improvements over state-of-the-art algorithms for the maximum clique problem over a large range of the commonly used DIMACS benchmark instances.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent469238 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoeng
dc.publisherAAAI Press
dc.publisher.placeUSA
dc.publisher.urihttp://www.jair.org/
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom159
dc.relation.ispartofpageto185
dc.relation.ispartofjournalJournal of Artificial Intelligence Research
dc.relation.ispartofvolume25
dc.rights.retentionY
dc.subject.fieldofresearchApplied Mathematics
dc.subject.fieldofresearchArtificial Intelligence and Image Processing
dc.subject.fieldofresearchCognitive Sciences
dc.subject.fieldofresearchcode0102
dc.subject.fieldofresearchcode0801
dc.subject.fieldofresearchcode1702
dc.titleDynamic Local Search for the Maximum Clique Problem
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.facultyGriffith Sciences, School of Information and Communication Technology
gro.rights.copyright© 2006 A I Access Foundation, Inc. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.
gro.date.issued2006
gro.hasfulltextFull Text
gro.griffith.authorPullan, Wayne J.


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