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dc.rights.licenseVisos teisės saugomos / All rights reserveden_US
dc.contributor.authorToktas, Abdurrahim
dc.contributor.authorUstun, Deniz
dc.date.accessioned2025-12-18T07:00:40Z
dc.date.available2025-12-18T07:00:40Z
dc.date.issued2022
dc.identifier.isbn9781665450492en_US
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/159584
dc.description.abstractThree types of multilayer microwave filter (MMF) which are low-pass (LP), high-pass (HP) and band-pass (BP) are designed through a frequency-dependent material using Pareto-based multi-objective differential evolution (DE) (MODE) algorithm. To this end, a dual-objective electromagnetic (EM) model taking into account oblique incident wave angle with transverse electric (TE) or transverse magnetic (TM) polarization is constructed, which is based on total reflection (T R) for the passing and stopping bands. The global optimal designs (GODs) are selected from the Pareto optimal designs (PODs) by considering the trade-off among the objective values. The frequency and angular behavior of the MMFs are comparatively studied. The designed MMF are near ideal characteristic thanks to MODE having effective and powerful multi-objective strategy.en_US
dc.format.extent5 p.en_US
dc.format.mediumTekstas / Texten_US
dc.language.isoenen_US
dc.relation.urihttps://etalpykla.vilniustech.lt/handle/123456789/159399en_US
dc.source.urihttps://ieeexplore.ieee.org/document/9781753en_US
dc.subjectMicrowave filter designen_US
dc.subjectmulti-objective optimizationen_US
dc.subjectdifferential evolution algorithmen_US
dc.subjectPareto optimalityen_US
dc.titleDesign Optimization of Multilayer Microwave Filter Using Differential Evolution Algorithmen_US
dc.typeKonferencijos publikacija / Conference paperen_US
dcterms.accrualMethodRankinis pateikimas / Manual submissionen_US
dcterms.issued2022-05-30
dcterms.references16en_US
dc.description.versionTaip / Yesen_US
dc.contributor.institutionAnkara Universityen_US
dc.contributor.institutionTarsus Universityen_US
dcterms.sourcetitle2022 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 21, 2022, Vilnius, Lithuaniaen_US
dc.identifier.eisbn9781665450485en_US
dc.identifier.eissn2690-8506en_US
dc.publisher.nameIEEEen_US
dc.publisher.countryUnited States of Americaen_US
dc.publisher.cityNew Yorken_US
dc.identifier.doihttps://doi.org/10.1109/eStream56157.2022.9781753en_US


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