Detail publikace

Global Multi-Objective Optimization in the Design of Frequncy Selective Surfaces

Originální název

Global Multi-Objective Optimization in the Design of Frequncy Selective Surfaces

Anglický název

Global Multi-Objective Optimization in the Design of Frequncy Selective Surfaces

Jazyk

en

Originální abstrakt

This presented paper deals with the original synthesis of the frequency selective surfaces design (FSS) with global optimization method. For the optimization of the structure, the genetic algorithm method (GA) and particle swarm optimization method (PSO) are used. The optimization method code is combined with CST Microwave Studio, which is as computational kernel used. This combination of the modification of the global optimization methods and accuracy computational kernel (CST MWS) warrants the accuracy, universality and speed of design of the FSS. The method is applied to design of FSS as band-pass filter in frequency range 3 to 7 GHz.

Anglický abstrakt

This presented paper deals with the original synthesis of the frequency selective surfaces design (FSS) with global optimization method. For the optimization of the structure, the genetic algorithm method (GA) and particle swarm optimization method (PSO) are used. The optimization method code is combined with CST Microwave Studio, which is as computational kernel used. This combination of the modification of the global optimization methods and accuracy computational kernel (CST MWS) warrants the accuracy, universality and speed of design of the FSS. The method is applied to design of FSS as band-pass filter in frequency range 3 to 7 GHz.

Dokumenty

BibTex


@inproceedings{BUT23897,
  author="Zbyněk {Lukeš} and Jaroslav {Láčík} and Zbyněk {Raida}",
  title="Global Multi-Objective Optimization in the Design of Frequncy Selective Surfaces",
  annote="This presented paper deals with the original synthesis of the frequency selective surfaces design (FSS) with global optimization method. For the optimization of the structure, the genetic algorithm method (GA) and particle swarm optimization method (PSO)  are used. The optimization method code is combined with CST Microwave Studio, which is as computational kernel used. This combination of the modification of the global optimization methods and accuracy computational kernel (CST MWS) warrants the accuracy, universality and speed of design of the FSS. The method is applied to design of FSS as band-pass filter in frequency range 3 to 7 GHz.",
  address="The Institution of Engineering and Technology",
  booktitle="European Conference of Antennas and Propagation Eucap 2007",
  chapter="23897",
  edition="3",
  institution="The Institution of Engineering and Technology",
  year="2007",
  month="november",
  pages="201--204",
  publisher="The Institution of Engineering and Technology",
  type="conference paper"
}