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LUKEŠ, Z.; RAIDA, Z.
Original Title
Multi-Objective Optimization of Wire Antennas: Genetic Algorithms Versus Particle Swarm Optimization
English Title
Type
Peer-reviewed article not indexed in WoS or Scopus
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
Keywords
time domain integral equation method, genetic, algorithms, particle swarm optimization, wire antennas, multi-band antennas.
Key words in English
Authors
Released
01.12.2005
ISBN
1210-2512
Periodical
Radioengineering
Volume
14
Number
4
State
Czech Republic
Pages from
91
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", journal="Radioengineering", year="2005", volume="14", number="4", pages="7", issn="1210-2512" }