Detail publikace

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

Originální název

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

Anglický název

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

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

Dokumenty

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",
  annote="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.",
  address="Politechnico di Torino",
  booktitle="2017 International Conference on Electromagnetics in Advanced Applications (ICEAA)",
  chapter="139510",
  doi="10.1109/ICEAA.2017.8065421",
  edition="19",
  howpublished="online",
  institution="Politechnico di Torino",
  year="2017",
  month="september",
  pages="976--979",
  publisher="Politechnico di Torino",
  type="conference paper"
}