Multi-Objective Optimization of Wire Antennas: Genetic Algorithms Versus Particle Swarm Optimization
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Date
2005-12
Authors
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Společnost pro radioelektronické inženýrství
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. That way, the designed antennas can be characterized 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 constant gain and to have the satisfactory polarization purity. Results of the design are experimentally verified. The multi-objective cost function is minimized by the genetic algorithm and by the particle swarm optimization. Results of the optimization by both the multi-objective methods are in detail compared. The combination of the time domain analysis and global optimization methods for the broadband antenna design and the detailed comparison of the multi-objective particle swarm optimization with the multi-objective genetic algorithm are the original contributions of the paper.
Description
Citation
Radioengineering. 2005, vol. 14, č. 4, s. 91-97. ISSN 1210-2512
http://www.radioeng.cz/fulltexts/2005/05_04_091_097.pdf
http://www.radioeng.cz/fulltexts/2005/05_04_091_097.pdf
Document type
Peer-reviewed
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Published version
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en