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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Bibliographische Detailangaben
1. Verfasser: Kajenski, P.J.
Format: Tagungsbericht
Sprache:eng
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Beschreibung
Zusammenfassung: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
ISSN:1522-3965
1947-1491
DOI:10.1109/APS.2006.1711385