Detail publikace

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

Originální název

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

Anglický název

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

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

Dokumenty

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"
}