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dc.contributor.authorWeis, Gerharden_US
dc.contributor.authorLewis, Andrewen_US
dc.contributor.authorRandall, Marcusen_US
dc.contributor.authorMohammadzadeh Galehdar, Amiren_US
dc.contributor.authorThiel, Daviden_US
dc.contributor.editorMichalewicz and Reynoldsen_US
dc.date.accessioned2017-05-03T12:48:58Z
dc.date.available2017-05-03T12:48:58Z
dc.date.issued2008en_US
dc.date.modified2011-05-04T09:53:29Z
dc.identifier.refurihttp://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=4630767&isYear=2008en_AU
dc.identifier.doi10.1109/CEC.2008.4631020en_AU
dc.identifier.urihttp://hdl.handle.net/10072/23663
dc.description.abstractThe efficient design of meander line antennas for RFID devices is a significant real-world problem. Traditional manual tuning of antenna designs is becoming impractical for larger problems. Thus the use of automated techniques, in the form of combinatorial search algorithms, is a necessity. Ant colony system (ACS) is a very efficient meta-heuristic that is commonly used to solve path construction problems. Apart from its own native search capacity, ACS can be dramatically improved by combining it with local search strategies. As shown in this paper, applying local search as a form of structure refinement to RFID meander line antennas delivers effective antenna structures. In particular, we use the operator known as backbite, that has had previous application in the construction of self-avoiding walks and compact polymer chains. Moreover, we apply it in a novel, hierarchical manner that allows for good sampling of the local search space. Its use represents a significant improvement on results obtained previously.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent179840 bytes
dc.format.extent27327 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.fieldofresearchcode280210en_US
dc.subject.fieldofresearchcode230118en_US
dc.titleLocal Search for Ant Colony System to Improve the Efficiency of Small Meander Line RFID Antennasen_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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    Contains papers delivered by Griffith authors at national and international conferences.

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