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dc.contributor.authorLewis, Andrewen_US
dc.contributor.authorRandall, Marcusen_US
dc.contributor.authorMohammadzadeh Galehdar, Amiren_US
dc.contributor.authorThiel, Daviden_US
dc.contributor.authorWeis, Gerharden_US
dc.contributor.editorAndrew Lewis, Sanaz Mostaghim & Marcus Randallen_US
dc.date.accessioned2017-04-24T09:52:58Z
dc.date.available2017-04-24T09:52:58Z
dc.date.issued2009en_US
dc.date.modified2010-08-19T07:04:55Z
dc.identifier.isbn9783642012617en_US
dc.identifier.doi10.1007/978-3-642-01262-4_8en_AU
dc.identifier.urihttp://hdl.handle.net/10072/29367
dc.description.abstractA method increasingly used to uniquely identify objects (be they pieces of luggage, transported goods or inventory items in shops and warehouses), is Radio Frequency IDentification (RFID). One of the most important components of RFID systems is the antenna and its design is critical to the utility of such tracking systems. Design engineers have traditionally constructed small antennas using their knowledge and intuition, as there is no simple analytical solution relating antenna structure to performance. This, however, does not guarantee optimal results, particularly for larger, more complex antennas. The problem is ideally suited to automated methods of optimisation. This chapter presents an overview of the automatic design of antennas using the meta-heuristic known as Ant Colony Optimisation (ACO). Apart from a description of the necessary mechanics ACO needs to effectively solve this problem, a novel local search refinement operator and a multi-objective version of the problem are also described. The latter is used to optimise both antenna efficiency and resonant frequency. Computational results for a range of antenna sizes show that ACO is a very effective design tool for RFID antennas.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherSpringer-Verlagen_US
dc.publisher.placeBerlinen_US
dc.publisher.urihttp://www.springerlink.comen_AU
dc.relation.ispartofbooktitleBiologically-inspired Optimisation Methods: Parallel Algorithms, Systems and Applicationsen_US
dc.relation.ispartofchapter8en_US
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofpagefrom189en_US
dc.relation.ispartofpageto217en_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchAntennas and Propagationen_US
dc.subject.fieldofresearchOptimisationen_US
dc.subject.fieldofresearchcode100501en_US
dc.subject.fieldofresearchcode010303en_US
dc.titleUsing Ant Colony Optimisation to Construct Meander- Line RFID Antennasen_US
dc.typeBook chapteren_US
dc.type.descriptionB1 - Book Chapters (HERDC)en_US
dc.type.codeB - Book Chaptersen_US
gro.facultyGriffith Sciences, School of Information and Communication Technologyen_US
gro.date.issued2009
gro.hasfulltextNo Full Text


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