A genetic algorithm based procedure to retrieve effective parameters of planar metamaterial samples

In this contribution, we present the employment of a Genetic Algorithm (GA) based procedure to retrieve the effective permittivity and permeability of planar metamaterial samples. The approach used here is the same of standard Transmission/Reflection (TR) techniques, consisting in extrapolating the sample properties by inversion of its scattering coefficients. The proposed procedure makes use of parametric models for describing the inherently dispersive behavior of the involved materials. This approach eliminates the anomalous behavior of most of the commonly used inversion techniques, providing a consistent representation of the material in the working frequency range. The transition to bulk effective parameters is also investigated determining a proper sample thickness assuring the validation of the homogenization procedure.

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