DocumentCode
2702751
Title
Particle Swarm Optimization of Reduced-size HF Dipoles
Author
Kajenski, Peter J.
Author_Institution
Alethia Sci.
fYear
2006
fDate
9-14 July 2006
Firstpage
3551
Lastpage
3554
Abstract
Particle swarm optimization is a stochastic evolutionary computation technique that emulates the behavior of swarms. The algorithm was used to optimize the design of reduced-size meandered line and end-loaded dipoles. The performance characteristics of both styles of antenna, optimized to the same criteria, are compared
Keywords
HF antennas; dipole antennas; evolutionary computation; particle swarm optimisation; stochastic processes; end-loaded dipole antenna; particle swarm optimization; reduced-size HF dipole antenna; reduced-size meandered line; stochastic evolutionary computation technique; Algorithm design and analysis; Bandwidth; Capacitance; Design optimization; Dipole antennas; Hafnium; Impedance; Particle swarm optimization; Resonance; Simulated annealing;
fLanguage
English
Publisher
ieee
Conference_Titel
Antennas and Propagation Society International Symposium 2006, IEEE
Conference_Location
Albuquerque, NM
Print_ISBN
1-4244-0123-2
Type
conf
DOI
10.1109/APS.2006.1711385
Filename
1711385
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