Novel Design Framework for Dual-Band Frequency Selective Surfaces Using Multi-Variant Differential Evolution

Achilles D. Boursianis, Maria S. Papadopoulou, Spyridon Nikolaidis, Panagiotis Sarigiannidis, Konstantinos Psannis, Apostolos Georgiadis, Manos M. Tentzeris and Sotirios K. Goudos
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Achilles D. Boursianis: School of Physics, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece
Maria S. Papadopoulou: School of Physics, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece
Spyridon Nikolaidis: School of Physics, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece
Panagiotis Sarigiannidis: Department of Electrical and Computer Engineering, University of Western Macedonia, 501 50 Kozani, Greece
Konstantinos Psannis: Department of Applied Informatics, School of Information Sciences, University of Macedonia, 546 36 Thessaloniki, Greece
Apostolos Georgiadis: School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh EH14 4AS, UK
Manos M. Tentzeris: The School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0250, USA
Sotirios K. Goudos: School of Physics, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece

Mathematics, 2021, vol. 9, issue 19, 1-28

Abstract: Frequency 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 GHz.

Keywords: Frequency Selective Surface; evolutionary algorithm; Multi-Variant Differential Evolution; radio frequency energy harvesting; design framework; optimization process; meta-heuristics (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
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