Comparative Study of the Goldfarb Iterative and the Genetic Algorithm Methods for Solving Inverse Problems

In this paper, a comparative analysis of various approaches to the formulation and solution of inverse scattering problems is given. Problems for sensing with the aid of electromagnetic fields are considered. The informative parameters can be both the frequency of a monochromatic electromagnetic wav...

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Bibliographic Details
Published in2018 IEEE 17th International Conference on Mathematical Methods in Electromagnetic Theory (MMET) pp. 221 - 225
Main Authors Antyufeyeva, Mariya S., Batrakov, Dmitry O., Batrakova, Angelika G., Antyufeyev, Alexandr V.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2018
Subjects
Electromagnetics
Genetic algorithms
Goldfarb method
Inverse problems
inverse scattering problem
Media
Optimization
Permittivity
plane-layered medium
Sensors
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Summary:In this paper, a comparative analysis of various approaches to the formulation and solution of inverse scattering problems is given. Problems for sensing with the aid of electromagnetic fields are considered. The informative parameters can be both the frequency of a monochromatic electromagnetic wave and the parameters characterizing its polarization state, and also the angle of the wave incidence for plane-layered media. The main attention is given to the comparative analysis of two methods - the Goldfarb method and the genetic algorithm. For carrying out computational experiments, a software is developed that allows to choose a method and thereby optimize the rate of convergence of the iterative process. The results of computational experiments are presented.
ISSN:2161-1750
DOI:10.1109/MMET.2018.8460316