TY - JOUR
T1 - Novel design framework for dual-band frequency selective surfaces using multi-variant differential evolution
AU - Boursianis, Achilles D.
AU - Papadopoulou, Maria S.
AU - Nikolaidis, Spyridon
AU - Sarigiannidis, Panagiotis
AU - Psannis, Konstantinos
AU - Georgiadis, Apostolos
AU - Tentzeris, Manos M.
AU - Goudos, Sotirios K.
N1 - Funding Information:
Funding: This research is co-financed by Greece and the European Union (European Social Fund-ESF) through the Operational Programme “Human Resources Development, Education and Lifelong Learning 2014-2020” in the context of the project “Design of radio frequency harvesting systems for mobile and wireless communication networks” (MIS 5047871).
Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2021/10/1
Y1 - 2021/10/1
N2 - 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.
AB - 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.
KW - Design framework
KW - Evolutionary algorithm
KW - Frequency selective surface
KW - Meta-heuristics
KW - Multi-variant differential evolution
KW - Optimization process
KW - Radio frequency energy harvesting
UR - http://www.scopus.com/inward/record.url?scp=85115936089&partnerID=8YFLogxK
U2 - 10.3390/math9192381
DO - 10.3390/math9192381
M3 - Article
AN - SCOPUS:85115936089
SN - 2227-7390
VL - 9
JO - Mathematics
JF - Mathematics
IS - 19
M1 - 2381
ER -