Publication detail

Synthesizing Sierpinski antenna by genetic algorithm and swarm optimization

VIDAL MAZÓN, B. RAIDA, Z.

Original Title

Synthesizing Sierpinski antenna by genetic algorithm and swarm optimization

English Title

Synthesizing Sierpinski antenna by genetic algorithm and swarm optimization

Type

journal article - other

Language

en

Original Abstract

The paper discusses the synthesis of the Sierpinski antenna operating at three prescribed frequencies: 0.9 GHz, 1.8 GHz (both GSM) and 2.4 GHz (Bluetooth). In order to synthesize the antenna, a genetic algorithm and a particle swarm optimization were used. The numerical model of the antenna was developed in Zeland IE3D, optimization scripts were programmed in MATLAB. Results of both the optimization methods are compared and experimentally verified.

English abstract

The paper discusses the synthesis of the Sierpinski antenna operating at three prescribed frequencies: 0.9 GHz, 1.8 GHz (both GSM) and 2.4 GHz (Bluetooth). In order to synthesize the antenna, a genetic algorithm and a particle swarm optimization were used. The numerical model of the antenna was developed in Zeland IE3D, optimization scripts were programmed in MATLAB. Results of both the optimization methods are compared and experimentally verified.

Keywords

Fractal antenna, Sierpinski monopole, particle swarm optimization, genetic algorithm.

RIV year

2008

Released

01.12.2008

Pages from

74

Pages to

78

Pages count

5

BibTex


@article{BUT49135,
  author="Beatriz María {Vidal Mazón} and Zbyněk {Raida}",
  title="Synthesizing Sierpinski antenna by genetic algorithm and swarm optimization",
  annote="The paper discusses the synthesis of the Sierpinski antenna operating at three prescribed frequencies: 0.9 GHz, 1.8 GHz (both GSM) and 2.4 GHz (Bluetooth). In order to synthesize the antenna, a genetic algorithm and a particle swarm optimization were used. The numerical model of the antenna was developed in Zeland IE3D, optimization scripts were programmed in MATLAB. Results of both the optimization methods are compared and experimentally verified.",
  chapter="49135",
  journal="Radioengineering",
  number="4",
  volume="17",
  year="2008",
  month="december",
  pages="74--78",
  type="journal article - other"
}