Detail publikace

Synthesis of Electromagnetic Equivalents of Composite Sheets by Multi-Objective Optimization of Anisotropic Band-Stop Filters

Originální název

Synthesis of Electromagnetic Equivalents of Composite Sheets by Multi-Objective Optimization of Anisotropic Band-Stop Filters

Anglický název

Synthesis of Electromagnetic Equivalents of Composite Sheets by Multi-Objective Optimization of Anisotropic Band-Stop Filters

Jazyk

en

Originální abstrakt

In the letter, an electromagnetic equivalent of a composite sheet is synthesized by a multi-objective optimization of a band-stop filter. An anisotropic uniplanar bandgap (UBG) structure of the filter simulates fibers and a resin in the composition of the sheet. A non-dominated sorting genetic algorithm (NSGA–II) and a generalized differential evolution (GDE3) are applied to minimize three objective functions defining the frequency response of the structure. Thanks to the multi-objective approach, a set of non-dominated solutions is obtained instead of a single solution provided by conventional approaches.

Anglický abstrakt

In the letter, an electromagnetic equivalent of a composite sheet is synthesized by a multi-objective optimization of a band-stop filter. An anisotropic uniplanar bandgap (UBG) structure of the filter simulates fibers and a resin in the composition of the sheet. A non-dominated sorting genetic algorithm (NSGA–II) and a generalized differential evolution (GDE3) are applied to minimize three objective functions defining the frequency response of the structure. Thanks to the multi-objective approach, a set of non-dominated solutions is obtained instead of a single solution provided by conventional approaches.

BibTex


@inproceedings{BUT147343,
  author="Martin {Marek} and Zbyněk {Raida} and Petr {Kadlec}",
  title="Synthesis of Electromagnetic Equivalents of Composite Sheets by Multi-Objective Optimization of Anisotropic Band-Stop Filters",
  annote="In the letter, an electromagnetic equivalent of a composite
sheet is synthesized by a multi-objective optimization of
a band-stop filter. An anisotropic uniplanar bandgap (UBG)
structure of the filter simulates fibers and a resin in the
composition of the sheet. A non-dominated sorting genetic algorithm
(NSGA–II) and a generalized differential evolution (GDE3)
are applied to minimize three objective functions defining the
frequency response of the structure. Thanks to the multi-objective
approach, a set of non-dominated solutions is obtained instead
of a single solution provided by conventional approaches.",
  booktitle="Proceedings of the 12th European Conference on Antennas and Propagation",
  chapter="147343",
  doi="10.1049/cp.2018.1094",
  howpublished="print",
  year="2018",
  month="april",
  pages="1--4",
  type="conference paper"
}