Modeling of electromagnetic behavior of composite thin layers using genetic algorithm

Abdelmalek Reddaf, Fatima Djerfaf, Karim Ferroudji, Mounir Boudjerda, Khaled Hamdi-Chérif and Islem Bouchachi

Mathematics and Computers in Simulation (MATCOM), 2020, vol. 167, issue C, 281-295

Abstract: In this paper, a new hybrid model is presented using the high frequency electromagnetic simulator for several binary mixtures where the load is in the lossless and thin film form with a permittivity of (ϵ́ = 100, 200, 300, and 400) and for various thickness values in a range of 10μm to 250μm. This model operates in a variety of frequencies from 8.2 GHz to 12.4 GHz. The effective permittivity of composites is evaluated using Nicholson Ross Weir (NRW) algorithm in a rectangular waveguide. The implementation of NRW algorithm is conducted on various samples simulated in order to estimate the dielectric composite behavior. Furthermore, a genetic algorithm methodology (GA) is employed for the optimization of filling factors of the proposed model by Wiener law. The obtained results show a good agreement with Mosallaei model, which ensure the validity of our proposed model based on GA for characterizing the electromagnetic behavior of dielectric thin layers.

Keywords: Thin films; Electromagnetic behavior; Dielectric mixtures; Genetic optimization; Microwave (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:167:y:2020:i:c:p:281-295

DOI: 10.1016/j.matcom.2018.12.011

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