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dc.contributor.authorRandall, Marcusen_US
dc.contributor.authorLewis, Andrewen_US
dc.contributor.editorP.M.A. Sloot, G.D. van Albada, M. Bubak and A. Trefethenen_US
dc.date.accessioned2017-04-24T09:52:37Z
dc.date.available2017-04-24T09:52:37Z
dc.date.issued2006en_US
dc.date.modified2007-10-29T04:57:51Z
dc.identifier.doihttp://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4031087en_AU
dc.identifier.urihttp://hdl.handle.net/10072/13118
dc.description.abstractA relatively new meta-heuristic, known as extremal optimisation (EO), is based on the evolutionary science notion that poorly performing genes of an individual are replaced by random mutation over time. In combinatorial optimisation, the genes correspond to solution components. Using a generalised model of a parallel architecture, the EO model can readily be extended to a number of individuals using evolutionary population dynamics and concepts of self-organising criticality. These solutions are treated in a manner consistent with the EO model. That is, poorly performing solutions can be replaced by random ones. The performance of standard EO and the new system shows that it is capable of finding near optimal solutions efficiently to most of the test problems.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent3809918 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherIEEE Computer Societyen_US
dc.publisher.placeLos Alamitios, USAen_US
dc.publisher.urihttp://ieeexplore.ieee.org/Xplore/dynhome.jspen_AU
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofconferencename2nd IEEE International Conference on e-Science and Grid Computingen_US
dc.relation.ispartofconferencetitlee-Science 2006, Second IEEE International Conference on e-Science and Grid Computingen_US
dc.relation.ispartofdatefrom2006-12-04en_US
dc.relation.ispartofdateto2006-12-06en_US
dc.relation.ispartoflocationAmsterdam, The Netherlandsen_US
dc.rights.retentionNen_AU
dc.subject.fieldofresearchcode230118en_US
dc.titleAn Extended Extremal Optimisation Model for Parallel Architecturesen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.rights.copyrightCopyright 2006 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.issued2006
gro.hasfulltextFull Text


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