Detail publikace

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

LUKEŠ, Z. RAIDA, Z.

Originální název

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

Typ

článek v časopise - ostatní, Jost

Jazyk

angličtina

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.

Klíčová slova

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

Autoři

LUKEŠ, Z.; RAIDA, Z.

Rok RIV

2005

Vydáno

1. 12. 2005

ISSN

1210-2512

Periodikum

Radioengineering

Ročník

14

Číslo

4

Stát

Česká republika

Strany od

91

Strany do

97

Strany počet

7

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"
}