Publication detail

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

LUKEŠ, Z. RAIDA, Z.

Original Title

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

English Title

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

Type

journal article - other

Language

en

Original 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.

English 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.

RIV year

2005

Released

01.12.2005

Pages from

91

Pages to

97

Pages count

7

BibTex


@article{BUT42762,
  author="Zbyněk {Lukeš} and Zbyněk {Raida}",
  title="Multi-Objective Optimization of Wire Antennas: Genetic Algorithms Versus Particle Swarm Optimization",
  annote="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.",
  chapter="42762",
  number="4",
  volume="14",
  year="2005",
  month="december",
  pages="91",
  type="journal article - other"
}