A Hybrid Optimization Algorithm for Low RCS Antenna Design

dc.contributor.authorShao, Wei
dc.contributor.authorZhu, Xinyue
dc.coverage.issue4cs
dc.coverage.volume21cs
dc.date.accessioned2015-01-26T10:06:00Z
dc.date.available2015-01-26T10:06:00Z
dc.date.issued2012-12cs
dc.description.abstractIn this article, a simple and efficient method is presented to design low radar cross section (RCS) patch antennas. This method consists of a hybrid optimization algorithm, which combines a genetic algorithm (GA) with tabu search algorithm (TSA), and electromagnetic field solver. The TSA, embedded into the GA frame, defines the acceptable neighborhood region of parameters and screens out the poor-scoring individuals. Thus, the repeats of search are avoided and the amount of time-consuming electromagnetic simulations is largely reduced. Moreover, the whole design procedure is auto-controlled by programming the VBScript language. A slot patch antenna example is provided to verify the accuracy and efficiency of the proposed method.en
dc.formattextcs
dc.format.extent1007-1012cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2012, vol. 21, č. 4, s. 1007-1012. ISSN 1210-2512cs
dc.identifier.issn1210-2512cs
dc.identifier.urihttp://hdl.handle.net/11012/37204
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2012/12_04_1007_1012.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectGenetic algorithmen
dc.subjectRCSen
dc.subjectslot antennaen
dc.subjecttabu search algorithmen
dc.titleA Hybrid Optimization Algorithm for Low RCS Antenna Designen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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