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Analytical Modeling and Numerical Simulation for Optimization of Inorganic Material Thin Layer Using Genetic Algorithms

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Abstract

The description and optimization of a transparent conductive oxide is the purpose of this present paper. Multiple simulations of the studied material were exhibited based on a simple mathematical model. The proposed approach illustrated the efficiency of the combination between the genetic algorithms and the analytical modeling for developing and optimizing the TCO structure. The execution of the simulation was via a model developed in MATLAB environment. The essential goal of this research is to acquire the best possible values to boost and to improve the TCO efficiency.

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Acknowledgements

T.C. recognizes the solid assistance made by Pr. A. Benmir and acknowledges the members of the Power Electronic Group (PEG) laboratory for performing the GAs.

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Authors and Affiliations

  1. Laboratory of Electrical Systems and Telecommunications, Electrical Engineering and Energy Team, National School of Applied Sciences, Ibn Tofail University, Kenitra, Morocco

    T. Chtouki, H. Erguig & B. Elidrissi

  2. Laboratory of Mathematical Analysis and Non-commutative Geometry, Department of Mathematics, Faculty of Sciences, Ibn Tofail University, Kenitra, Morocco

    L. El Mezouary

  3. Power Electronic Group, National School of Engineers, Sfax, Tunisia

    A. Ammous, H. Mejbri & K. Ammous

  4. Umm Al Qura University, Mecca, Kingdom of Saudi Arabia

    A. Ammous

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  1. T. Chtouki
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  2. L. El Mezouary
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Chtouki, T., El Mezouary, L., Ammous, A. et al. Analytical Modeling and Numerical Simulation for Optimization of Inorganic Material Thin Layer Using Genetic Algorithms. J Inorg Organomet Polym 27, 1664–1673 (2017). https://doi.org/10.1007/s10904-017-0628-3

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  • DOI: https://doi.org/10.1007/s10904-017-0628-3

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