Detail publikace

Comparison of a Real-Coding Genetic Algorithm and Particle Swarm Optimization on a Band Gap Bandwidth Maximization Problem

Lukáš Oliva, Viktor Otevřel, Zbyněk Raida

Originální název

Comparison of a Real-Coding Genetic Algorithm and Particle Swarm Optimization on a Band Gap 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 mean-adaptive real-coding genetic algorithm (MAD-RCGA) are applied to a problem of optimizing non-traditional dielectric electromagnetic band gap structures (EBG). The problem is formulated in nine dimensions with the goal of finding as large frequency gap between the first and the second TM bands as possible. Maximizing the frequency gap enables to improve properties of planar patch antennas in wide band.

Klíčová slova

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

Autoři

Lukáš Oliva, Viktor Otevřel, Zbyněk Raida

Rok RIV

2007

Vydáno

14. 5. 2007

Nakladatel

Budapest University of Technology and Economics

Místo

Budapest

Strany od

128

Strany do

258

Strany počet

131

BibTex

@inproceedings{BUT22358,
  author="Lukáš {Oliva} and Viktor {Otevřel} and Zbyněk {Raida}",
  title="Comparison of a Real-Coding Genetic Algorithm and Particle Swarm Optimization on a Band Gap Bandwidth Maximization Problem",
  booktitle="proceedings of Microcoll 2007",
  year="2007",
  pages="131",
  publisher="Budapest University of Technology and Economics",
  address="Budapest"
}