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Performance Analysis of a Differential Evolution Algorithm in Modeling Parameter Extraction of Optical Material

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Abstract

Determination of accurate modeling parameters of optical materials prior to defining the materials in the simulation model is fundamentally important to obtain simulation results close to the experimental ones. However, extracting modeling parameters of optical materials is inherently difficult because it involves fitting both real and imaginary parts of the relative permittivity using a single set of parameters. In this paper, an evolutionary algorithm called differential evolution (DE) has been utilized to extract the optical modeling parameters of graphene oxide. The performance of DE to find the optimal results has been analyzed by using different objective functions and boundary values. Two objective functions are used out of which one is proposed by us. Root-means-square (RMS) deviation, a measure of accuracy of the numerically obtained results has been determined for each case. From the obtained results it has been found that the DE algorithm extracted the optical modeling parameters successfully with very small RMS deviation for both real and imaginary parts of the complex relative permittivity.

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Authors and Affiliations

  1. Department of Electrical and Electronic Engineering, Islamic University of Technology (IUT), Board Bazar, Gazipur, 1704, Bangladesh

    Md. Ghulam Saber, Ashik Ahmed & Rakibul Hasan Sagor

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  1. Md. Ghulam Saber
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  2. Ashik Ahmed
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  3. Rakibul Hasan Sagor
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Correspondence to Md. Ghulam Saber.

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Saber, M.G., Ahmed, A. & Sagor, R.H. Performance Analysis of a Differential Evolution Algorithm in Modeling Parameter Extraction of Optical Material. Silicon 9, 723–731 (2017). https://doi.org/10.1007/s12633-016-9422-z

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  • DOI: https://doi.org/10.1007/s12633-016-9422-z

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