Detail publikace

Comparison of real-coding genetic algorithm with particle swarm optimization on the bandgap bandwidth maximization problem

Viktor Otevřel, Lukáš Oliva, Zbyněk Raida

Originální název

Comparison of real-coding genetic algorithm with particle swarm optimization on the bandgap bandwidth maximization problem

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

In this paper, two global optimization algorithms, particle swarm optimization (PSO) and meanadaptive real-coding genetic algorithm (MAD-RCGA), are applied to a problem of optimization of non-traditional dielectric Electromagnetic Bandgap Structures (EBG). The problem is formulated in nine dimensions with the goal of finding as large frequency gap between the eight lowest TM bands as possible. Maximizing the frequency gap enables to improve properties of planar patch antenas in wide band.

Klíčová slova

Global optimization, Real-coding genetic algorithm, Particle swarm optimization.

Autoři

Viktor Otevřel, Lukáš Oliva, Zbyněk Raida

Rok RIV

2007

Vydáno

24. 4. 2007

Nakladatel

VUT v Brně

Místo

Brno

ISBN

1-4244-0821-0

Kniha

Proceedings of Radioelektronika 2007

Strany od

655

Strany do

658

Strany počet

4

BibTex

@inproceedings{BUT22356,
  author="Viktor {Otevřel} and Lukáš {Oliva}",
  title="Comparison of real-coding genetic algorithm with particle swarm optimization on the bandgap bandwidth maximization problem",
  booktitle="Proceedings of Radioelektronika 2007",
  year="2007",
  pages="4",
  publisher="VUT v Brně",
  address="Brno",
  isbn="1-4244-0821-0"
}