ECM Enabled Whale optimization assisted facile design of dual-band conformal FSS for WLAN shielding applications

Chaudhary, Varun; Panwar, Ravi

doi:10.1080/09205071.2021.1884995

Cited by 5 publications

(1 citation statement)

References 15 publications

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“…Numerical results exhibited the validity of the proposed design structure. An equivalent circuit model based on the WOA has been presented in [74] to design a dual-band frequency selective surface (FSS) for WLAN shielding applications. Computed and measured results exhibited the effectiveness of the utilized algorithm to the given optimization problem.…”

Section: Related Workmentioning

confidence: 99%

Emerging Swarm Intelligence Algorithms and Their Applications in Antenna Design: The GWO, WOA, and SSA Optimizers

et al. 2021

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Swarm Intelligence (SI) Algorithms imitate the collective behavior of various swarms or groups in nature. In this work, three representative examples of SI algorithms have been selected and thoroughly described, namely the Grey Wolf Optimizer (GWO), the Whale Optimization Algorithm (WOA), and the Salp Swarm Algorithm (SSA). Firstly, the selected SI algorithms are reviewed in the literature, specifically for optimization problems in antenna design. Secondly, a comparative study is performed against widely known test functions. Thirdly, such SI algorithms are applied to the synthesis of linear antenna arrays for optimizing the peak sidelobe level (pSLL). Numerical tests show that the WOA outperforms the GWO and the SSA algorithms, as well as the well-known Particle Swarm Optimizer (PSO), in terms of average ranking. Finally, the WOA is exploited for solving a more computational complex problem concerned with the synthesis of an dual-band aperture-coupled E-shaped antenna operating in the 5G frequency bands.

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Section: Related Workmentioning

confidence: 99%

Emerging Swarm Intelligence Algorithms and Their Applications in Antenna Design: The GWO, WOA, and SSA Optimizers

et al. 2021

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FSS Derived Using a New Equivalent Circuit Model Backed Deep Neural Network

Chaudhary

Panwar

2021

Antennas Wirel. Propag. Lett.

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Machine Learning Derived TiO₂ Embedded Frequency Selective Surface for EMI Shielding Applications

Chaudhary

Panwar

2023

IEEE Trans. Dielect. Electr. Insul.

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ECM Enabled Whale optimization assisted facile design of dual-band conformal FSS for WLAN shielding applications

Cited by 5 publications

References 15 publications

Emerging Swarm Intelligence Algorithms and Their Applications in Antenna Design: The GWO, WOA, and SSA Optimizers

Emerging Swarm Intelligence Algorithms and Their Applications in Antenna Design: The GWO, WOA, and SSA Optimizers

FSS Derived Using a New Equivalent Circuit Model Backed Deep Neural Network

Machine Learning Derived TiO₂ Embedded Frequency Selective Surface for EMI Shielding Applications

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ECM Enabled Whale optimization assisted facile design of dual-band conformal FSS for WLAN shielding applications

Cited by 5 publications

References 15 publications

Emerging Swarm Intelligence Algorithms and Their Applications in Antenna Design: The GWO, WOA, and SSA Optimizers

Emerging Swarm Intelligence Algorithms and Their Applications in Antenna Design: The GWO, WOA, and SSA Optimizers

FSS Derived Using a New Equivalent Circuit Model Backed Deep Neural Network

Machine Learning Derived TiO2 Embedded Frequency Selective Surface for EMI Shielding Applications

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Product

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About

Machine Learning Derived TiO₂ Embedded Frequency Selective Surface for EMI Shielding Applications