Please use this identifier to cite or link to this item: https://ruomo.lib.uom.gr/handle/7000/1533
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dc.contributor.authorBoursianis, Achilles D.-
dc.contributor.authorPapadopoulou, Maria S.-
dc.contributor.authorNikolaidis, Spyridon-
dc.contributor.authorSarigiannidis, Panagiotis-
dc.contributor.authorPsannis, Kostas E.-
dc.contributor.authorGeorgiadis, Apostolos-
dc.contributor.authorTentzeris, Manos M.-
dc.contributor.authorGoudos, Sotirios K.-
dc.date.accessioned2022-10-28T09:10:12Z-
dc.date.available2022-10-28T09:10:12Z-
dc.date.issued2021-
dc.identifier10.3390/math9192381en_US
dc.identifier.issn2227-7390en_US
dc.identifier.urihttps://doi.org/10.3390/math9192381en_US
dc.identifier.urihttps://ruomo.lib.uom.gr/handle/7000/1533-
dc.description.abstractFrequency Selective Surfaces (FSSs) have become increasingly popular during the last years due to their combined characteristics, which meet, in general, the requirements of the next-generation wireless communication networks. In this work, a cross-platform design framework for FSS structures is presented and evaluated by utilizing a recently introduced evolutionary optimization algorithm, namely, the Multi-Variant Differential Evolution (MVDE). To the best of the authors knowledge, this is the first time that the MVDE algorithm is applied to a design problem in Electromagnetics. The proposed design framework is described in detail and the utilized evolutionary algorithm is assessed in terms of its performance by applying several benchmark functions. In this context, the MVDE is comparatively evaluated against other popular evolutionary algorithms. Moreover, it is applied to the design and optimization of two different representative examples of FSS structures based on three use cases of unit cell geometry. Optimization results indicate the efficacy of the proposed framework by quantifying the performance of the designed FSS structures in terms of several system metrics. The optimized FSS structures exhibit dual-band operation and quite acceptable results in the ISM frequency bands of 2.45 GHz and 5.8 GHzen_US
dc.language.isoenen_US
dc.publishermdpien_US
dc.rightsCC0 1.0 Universal*
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/*
dc.sourceMathematicsen_US
dc.subjectFRASCATI::Engineering and technologyen_US
dc.subjectFRASCATI::Engineering and technology::Electrical engineering, Electronic engineering, Information engineeringen_US
dc.subject.otherFrequency Selective Surfaceen_US
dc.subject.otherevolutionary algorithmen_US
dc.subject.otherMulti-Variant Differential Evolutionen_US
dc.subject.otherradio frequency energy harvestingen_US
dc.subject.otherdesign frameworken_US
dc.subject.otheroptimization processen_US
dc.subject.othermeta-heuristicsen_US
dc.titleNovel Design Framework for Dual-Band Frequency Selective Surfaces Using Multi-Variant Differential Evolutionen_US
dc.typeArticleen_US
dc.contributor.departmentΤμήμα Εφαρμοσμένης Πληροφορικήςen_US
local.identifier.volume9en_US
local.identifier.issue19en_US
local.identifier.firstpage2381en_US
Appears in Collections:Department of Applied Informatics

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