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Surrogate Based Design Optimization of Multi-Band Antenna

dc.contributor.authorTarı, Özlem
dc.contributor.authorBelen, Aysu
dc.contributor.authorMahouti, Peyman
dc.contributor.authorBelen, Mehmet Ali
dc.date.accessioned2021-12-30T12:13:51Z
dc.date.available2021-12-30T12:13:51Z
dc.date.issued2021en_US
dc.identifier.citationTari, O., Belen, A., Mahouti, P., Belen, M.A. (2021). Surrogate based design optimization of multi-band antenna. 2021 International Applied Computational Electromagnetics Society Symposium, ACES 2021.en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12508/2031
dc.description.abstractIn this work, design optimization process of a multi-band antenna via the use of Artificial Neural Network (ANN) based surrogate model and meta-heuristic optimizers is studied. For this mean firstly, by using Latin-Hyper cube sampling method a data set based on 3D full wave EM simulator is generated to train an ANN based model. By using the ANN based surrogate model and a meta-heuristic optimizer Invasive Weed Optimization (IWO), design optimization of a multi-band antenna for (I) 2.4-3.6 GHz for ISM, LTE, and 5G sub frequencies, (II) 9-10 GHz for X band applications is aimed. Then the obtained results are compared with the simulated results of 3D EM simulation tool CST. Results show, that the proposed methodology provides a computationally efficient design optimization process for design optimization of multi-band antennas.en_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.isversionof10.1109/ACES53325.2021.00163en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArtificial neural networken_US
dc.subjectMulti-band antenna optimizationen_US
dc.subjectSurrogate modelingen_US
dc.subject.classificationEngineering
dc.subject.classificationPhysics
dc.subject.classificationTelecommunications
dc.subject.classificationMicrowave Filters
dc.subject.classificationSurface Approximation
dc.subject.classificationSimulation Driven Design
dc.subject.other5G mobile communication systems
dc.subject.otherComputational electromagnetics
dc.subject.otherDesign
dc.subject.otherHeuristic algorithms
dc.subject.otherInvasive weed optimization
dc.subject.otherMicrowave antennas
dc.subject.otherAntenna optimization
dc.subject.otherDesign optimization
dc.subject.otherHeuristic optimizers
dc.subject.otherHyper-cubes
dc.subject.otherMetaheuristic
dc.subject.otherMulti-band antenna optimization
dc.subject.otherMultiband antennas
dc.subject.otherNetwork-based
dc.subject.otherSurrogate modeling
dc.subject.otherWork design
dc.subject.otherNeural networks
dc.titleSurrogate Based Design Optimization of Multi-Band Antennaen_US
dc.typeconferenceObjecten_US
dc.relation.journal2021 International Applied Computational Electromagnetics Society Symposium, ACES 2021en_US
dc.contributor.departmentİskenderun Meslek Yüksekokulu -- Hibrid ve Elektrikli Taşıtlar Teknolojisi Bölümüen_US
dc.contributor.departmentMühendislik ve Doğa Bilimleri Fakültesi -- Elektrik-Elektronik Mühendisliği Bölümü
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.contributor.isteauthorBelen, Aysu
dc.contributor.isteauthorBelen, Mehmet Ali
dc.relation.indexWeb of Science - Scopusen_US
dc.relation.indexWeb of Science Core Collection - Conference Proceedings Citation Index- Science


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