Abstract
Metamaterials are artificial materials having uncommon physical properties. For a fast and careful design of these structures, the development of simple and faithful models able to reproduce their electromagnetic behavior is a key factor. Very recently a quick method for the extraction of Drude-Lorentz models for electromagnetic metamaterials has been presented [1]. In this work we improve that approach, introducing a novel procedure exploiting a micro-genetic algorithm (\(\mu \)GA). Numerical results obtained for the case of a split ring resonator structure cleary show a better reconstruction behaviour for equivalent magnetic permittivity \(\mu _{eff}\) than those provided by [1].
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Sgrò, A., De Carlo, D., Angiulli, G., Morabito, F.C., Versaci, M. (2018). Accurate Computation of Drude-Lorentz Model Coefficients of Single Negative Magnetic Metamaterials Using a Micro-Genetic Algorithm Approach. In: Esposito, A., Faudez-Zanuy, M., Morabito, F., Pasero, E. (eds) Multidisciplinary Approaches to Neural Computing. Smart Innovation, Systems and Technologies, vol 69. Springer, Cham. https://doi.org/10.1007/978-3-319-56904-8_5
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DOI: https://doi.org/10.1007/978-3-319-56904-8_5
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