Surrogate Model Assisted Design of CSRR Structure using Genetic Algorithm for Microstrip Antenna Application

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dc.contributor.authorSarmah, Kumaresh
dc.contributor.authorGoswami, Sivaranjan
dc.contributor.authorBaruah, Sunandan
dc.coverage.issue1cs
dc.coverage.volume29cs
dc.date.accessioned2020-05-04T09:39:03Z
dc.date.available2020-05-04T09:39:03Z
dc.date.issued2020-04cs
dc.description.abstractSoft-computational approaches have enabled quicker and more efficient means for antenna design. In the present work, a genetic algorithm (GA) based method is reported for the design of complementary split ring resonator (CSRR) structures for antenna design. A multi-objective optimization problem is formulated to design the antenna. The cost function of the optimization problem is calculated from a surrogate model of the CSRR structure. The surrogate model is created first using an analytical model of the CSRR structure and then using an artificial neural network (ANN). A comparative study of the result shows that the ANN based surrogate model is more accurate compared to the surrogate model using an analytical model. An antenna with an integrated filter is built using a CSRR structure designed using the proposed method. The performance of the antenna is validated from simulation and measurement results.en
dc.formattextcs
dc.format.extent117-124cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRadioengineering. 2020 vol. 29, č. 1, s. 117-124. ISSN 1210-2512cs
dc.identifier.doi10.13164/re.2020.0117en
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/186941
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttps://www.radioeng.cz/fulltexts/2019/20_01_0117_0124.pdfcs
dc.rightsCreative Commons Attribution 4.0 International licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectArtificial neural networken
dc.subjectsurrogate modelen
dc.subjectcomplementary split ring resonatoren
dc.subjectmicrostrip antennaen
dc.subjectgenetic algorithmen
dc.subjectsoft-computational designen
dc.titleSurrogate Model Assisted Design of CSRR Structure using Genetic Algorithm for Microstrip Antenna Applicationen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
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