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dc.contributor.authorIreland, Daviden_US
dc.contributor.authorLewis, Andrewen_US
dc.contributor.authorLu, Junweien_US
dc.contributor.authorScriven, Ianen_US
dc.contributor.editorMichalewicz and Reynoldsen_US
dc.date.accessioned2017-04-04T16:43:24Z
dc.date.available2017-04-04T16:43:24Z
dc.date.issued2008en_US
dc.date.modified2011-05-04T09:53:25Z
dc.identifier.refurihttp://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=4630767&isYear=2008en_AU
dc.identifier.doi10.1109/CEC.2008.4631191en_AU
dc.identifier.urihttp://hdl.handle.net/10072/22901
dc.description.abstractThis paper describes a distributed particle swarm optimisation algorithm (PSO) based on peer-to-peer computer networks. A number of modifications are made to the more traditional synchronous PSO algorithm to allow for fully decentralised, scalable and fault-tolerent operation. The modified algorithm uses staggered propagation of objective-space knowledge between sub-swarms to eliminate the need for a centralised data store. Analytical test functions are used to examine the performance of the proposed algorithm and its variations in comparison with a basic synchronous PSO implementation. The results clearly show the feasibility of decentralised particle swarm optimisation.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent142910 bytes
dc.format.extent19661 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherOnlineen_US
dc.publisher.placeOnlineen_US
dc.publisher.urihttp://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=4625778en_AU
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofconferencename2008 IEEE World Congress on Computational Intelligenceen_US
dc.relation.ispartofconferencetitleIEEE Congress on Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence).en_US
dc.relation.ispartofdatefrom2008-06-01en_US
dc.relation.ispartofdateto2008-06-06en_US
dc.relation.ispartoflocationHong Kong, Chinaen_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchcode230118en_US
dc.titleDecentralised Distributed Multiple Objective Particle Swarm Optimisation Using Peer to Peer Networksen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.facultyGriffith Sciences, Griffith School of Engineeringen_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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    Contains papers delivered by Griffith authors at national and international conferences.

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