Result Details

Multi-Objective Optimization of Wire Antennas: Genetic Algorithms Versus Particle Swarm Optimization

LUKEŠ, Z.; RAIDA, Z. Multi-Objective Optimization of Wire Antennas: Genetic Algorithms Versus Particle Swarm Optimization. Radioengineering, 2005, vol. 14, no. 4, 7 p. ISSN: 1210-2512.

Type

journal article

Language

English

Authors

Lukeš Zbyněk, Ing., Ph.D.
Raida Zbyněk, prof. Dr. Ing., UREL (FEEC)

Abstract

The paper is aimed to the multi-objective optimization of wire multi-band antennas. Antennas are numerically modeled using time-domain integral-equation method to characterize the designed antenna in a wide band of frequencies within a single run of the analysis. Antennas are optimized to reach the prescribed matching, to exhibit the omni-directional maximum gain and to have the satisfactory polarization purity. Results of the design are experimentally verified.
The multi-objective cost function is minimized by genetic algorithms and by particle swarm optimization. Results of the optimization by both the methods are in detail compared.

Keywords

time domain integral equation method, genetic, algorithms, particle swarm optimization, wire antennas, multi-band antennas.

Published

2005

Pages

Journal

Radioengineering, vol. 14, no. 4, ISSN 1210-2512

BibTeX

@article{BUT42762,
  author="Zbyněk {Lukeš} and Zbyněk {Raida}",
  title="Multi-Objective Optimization of Wire Antennas: Genetic Algorithms Versus Particle Swarm Optimization",
  journal="Radioengineering",
  year="2005",
  volume="14",
  number="4",
  pages="7",
  issn="1210-2512"
}

Departments

Department of Radio Electronics (UREL)