Author
Listed:
- Achilles D. Boursianis
(School of Physics, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece
These authors contributed equally to this work.)
- Maria S. Papadopoulou
(School of Physics, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece
These authors contributed equally to this work.)
- Spyridon Nikolaidis
(School of Physics, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece
These authors contributed equally to this work.)
- Panagiotis Sarigiannidis
(Department of Electrical and Computer Engineering, University of Western Macedonia, 501 50 Kozani, Greece
These authors contributed equally to this work.)
- Konstantinos Psannis
(Department of Applied Informatics, School of Information Sciences, University of Macedonia, 546 36 Thessaloniki, Greece
These authors contributed equally to this work.)
- Apostolos Georgiadis
(School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh EH14 4AS, UK
These authors contributed equally to this work.)
- Manos M. Tentzeris
(The School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0250, USA
These authors contributed equally to this work.)
- Sotirios K. Goudos
(School of Physics, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece
These authors contributed equally to this work.)
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.
Suggested Citation
Achilles D. Boursianis & Maria S. Papadopoulou & Spyridon Nikolaidis & Panagiotis Sarigiannidis & Konstantinos Psannis & Apostolos Georgiadis & Manos M. Tentzeris & Sotirios K. Goudos, 2021.
"Novel Design Framework for Dual-Band Frequency Selective Surfaces Using Multi-Variant Differential Evolution,"
Mathematics, MDPI, vol. 9(19), pages 1-28, September.
Handle:
RePEc:gam:jmathe:v:9:y:2021:i:19:p:2381-:d:642777
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:9:y:2021:i:19:p:2381-:d:642777. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.