Publication detail

Solution of an Inverse Scattering Problem Using Optimization with a Variable Number of Dimensions

KADLEC, P. ŠEDĚNKA, V. ŠTUMPF, M. MAREK, M.

Original Title

Solution of an Inverse Scattering Problem Using Optimization with a Variable Number of Dimensions

Type

conference paper

Language

English

Original Abstract

The inverse scattering problem applies in many areas of engineering such as biomedicine, civil engineering, electromagnetic compatibility or geophysics. In this paper, one-dimensional inverse scattering problem is formulated as an optimization task with variable number of dimensions. Goal is to reconstruct material properties of a layered medium from its reflection coefficient. Then, this problem is solved using PSO-VND algorithm. Its solution is compared with solutions by conventional approaches: PSO, GA and DE optimizers. Results show that VND formulation significantly reduces computational time.

Keywords

Optimization, variable number of dimensions, inverse scattering problem

Authors

KADLEC, P.; ŠEDĚNKA, V.; ŠTUMPF, M.; MAREK, M.

Released

15. 9. 2017

Publisher

Politechnico di Torino

Location

Verona, Italy

ISBN

978-1-5090-4450-4

Book

2017 International Conference on Electromagnetics in Advanced Applications (ICEAA)

Edition

19

Edition number

2017

Pages from

976

Pages to

979

Pages count

4

URL

http://ieeexplore.ieee.org/abstract/document/8065421/

BibTex

@inproceedings{BUT139510,
  author="Petr {Kadlec} and Vladimír {Šeděnka} and Martin {Štumpf} and Martin {Marek}",
  title="Solution of an Inverse Scattering Problem Using Optimization with a Variable Number of Dimensions",
  booktitle="2017 International Conference on Electromagnetics in Advanced Applications (ICEAA)",
  year="2017",
  series="19",
  number="2017",
  pages="976--979",
  publisher="Politechnico di Torino",
  address="Verona, Italy",
  doi="10.1109/ICEAA.2017.8065421",
  isbn="978-1-5090-4450-4",
  url="http://ieeexplore.ieee.org/abstract/document/8065421/"
}