Particle Swarm Optimization of Reduced-size HF Dipoles

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 c...

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description 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
doi_str_mv 10.1109/APS.2006.1711385
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identifier ISSN: 1522-3965
ispartof 2006 IEEE Antennas and Propagation Society International Symposium, 2006, p.3551-3554
issn 1522-3965
1947-1491
language eng
recordid cdi_ieee_primary_1711385
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Algorithm design and analysis
Bandwidth
Capacitance
Design optimization
Dipole antennas
Hafnium
Impedance
Particle swarm optimization
Resonance
Simulated annealing
title Particle Swarm Optimization of Reduced-size HF Dipoles
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