Title :
Particle Swarm Optimization of Reduced-size HF Dipoles
Author :
Kajenski, Peter J.
Author_Institution :
Alethia Sci.
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;
Conference_Titel :
Antennas and Propagation Society International Symposium 2006, IEEE
Conference_Location :
Albuquerque, NM
Print_ISBN :
1-4244-0123-2
DOI :
10.1109/APS.2006.1711385
