Publication detail

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

Viktor Otevřel, Lukáš Oliva, Zbyněk Raida

Original Title

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

Type

conference paper

Language

English

Original Abstract

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.

Keywords

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

Authors

Viktor Otevřel, Lukáš Oliva, Zbyněk Raida

RIV year

2007

Released

24. 4. 2007

Publisher

VUT v Brně

Location

Brno

ISBN

1-4244-0821-0

Book

Proceedings of Radioelektronika 2007

Pages from

655

Pages to

658

Pages count

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"
}