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Application of Genetic Algorithms in the Determination of Dielectric Properties of Materials at Microwave Frequencies

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Nature Inspired Problem-Solving Methods in Knowledge Engineering (IWINAC 2007)

Abstract

In this paper the application of an evolutionary procedure based on genetic algorithms for obtaining the dielectric properties of arbitrary shaped, homogeneous or inhomogeneous materials is presented. The optimization procedure matches the measured and simulated scattering parameters of a waveguide setup that contains the sample under study. Depending on the geometry of the sample, analytic or numerical (2D or 3D) electromagnetic simulations must be carried out in order to obtain the simulated scattering parameters for a set of electric permittivities. Results for different polymeric and biological materials are presented with similar uncertainties than conventional direct methods, with the advantage that this new technique can deal with non-canonical and heterogeneous samples.

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References

  1. Chen, L.F., Ong, C.K., Neo, C.P., Varadan, V.V., Varadan, V.K.: Microwave Electronics. Measurement and Material Characterization. John Wiley & Sons, Chichester (2004)

    Google Scholar 

  2. Ramat-Samii, Y., Michielssen, E.: Electromagnetic Optimization by Genetic Algorithms. John Wiley & Sons, Toronto (1999)

    Google Scholar 

  3. Houck, C.R., Joines, J.A., Kay, M.G.: A Genetic Algorithm for Function Optimization: a MATLAB Implementation. NCSU-IE TR, 95–09. The Mathworks, Natick, MA (1995)

    Google Scholar 

  4. Requena-Pérez, M.E.: Desarrollo de un Método Inverso para la Determinación de las Propiedades Dieléctricas de los Materiales. Dissertation (in Spanish), Universidad Politécnica de Cartagena, Spain (2006)

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  5. Requena-Pérez, M.E., Albero-Ortiz, A., Monzó-Cabrera, J., Díaz Morcillo, A.: Genetic Algorithms and Gradient Descent Optimization Methods for Accurate Inverse Permittivity Measurement. IEEE Transactions on Microwave Theory and Techniques 54, 615–624 (2006)

    Article  Google Scholar 

  6. Partial Differential Equation Toolbox, user’s guide, http://www.mathworks.com

  7. HF Design and Analysis Manual, Version 5. CST Microwave Studio, Darmstadt, Germany (2004)

    Google Scholar 

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José Mira José R. Álvarez

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© 2007 Springer Berlin Heidelberg

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Díaz-Morcillo, A., Monzó-Cabrera, J., Requena-Pérez, M.E., Lozano-Guerrero, A. (2007). Application of Genetic Algorithms in the Determination of Dielectric Properties of Materials at Microwave Frequencies. In: Mira, J., Álvarez, J.R. (eds) Nature Inspired Problem-Solving Methods in Knowledge Engineering. IWINAC 2007. Lecture Notes in Computer Science, vol 4528. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73055-2_63

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  • DOI: https://doi.org/10.1007/978-3-540-73055-2_63

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73054-5

  • Online ISBN: 978-3-540-73055-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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