Publication detail

Global Evolutionary Algorithms in the Design of Electromagnetic Band Gap Structures with Suppressed Surface Waves Propagation

KOVÁCS, P. RAIDA, Z.

Original Title

Global Evolutionary Algorithms in the Design of Electromagnetic Band Gap Structures with Suppressed Surface Waves Propagation

English Title

Global Evolutionary Algorithms in the Design of Electromagnetic Band Gap Structures with Suppressed Surface Waves Propagation

Type

journal article - other

Language

en

Original Abstract

The paper is focused on the automated design and optimization of electromagentic band gap structures suppressing the propagation of surface waves. For the optimisation, four types of global evolutionary algorithms were used: the genetic algorithm with the single-point crossover (GAs), and the multi-point one (GAm), the differential evolution (DE) and particle swarm optimization (PSO).

English abstract

The paper is focused on the automated design and optimization of electromagentic band gap structures suppressing the propagation of surface waves. For the optimisation, four types of global evolutionary algorithms were used: the genetic algorithm with the single-point crossover (GAs), and the multi-point one (GAm), the differential evolution (DE) and particle swarm optimization (PSO).

Keywords

electromagnetic band gap (EBG), optimization, genetic algorithm (GA), differential evolution (DE), particle swarm optimization (PSO), CST Microwave Studio (CST MWS), Matlab

RIV year

2010

Released

07.04.2010

Pages from

122

Pages to

128

Pages count

7

BibTex


@article{BUT46974,
  author="Peter {Kovács} and Zbyněk {Raida}",
  title="Global Evolutionary Algorithms in the Design of Electromagnetic Band Gap Structures with Suppressed Surface Waves Propagation",
  annote="The paper is focused on the automated design and optimization of electromagentic band gap structures suppressing the propagation of surface waves. For the optimisation, four types of global evolutionary algorithms were used: the genetic algorithm with the single-point crossover (GAs), and the multi-point one (GAm), the differential evolution (DE) and particle swarm optimization (PSO).",
  chapter="46974",
  journal="Radioengineering",
  number="1",
  volume="19",
  year="2010",
  month="april",
  pages="122--128",
  type="journal article - other"
}