Design of Wire Antennas by Using an Evolved Particle Swarm Optimization Algorithm

A. Rogovich, C. Marasini, A. Monorchio, E.S.A.M. Lepelaars, A.P.M. Zwamborn

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

8 Citaten (Scopus)

Samenvatting

A particle swarm optimization (PSO) algorithm has been used in conjunction with a full-wave numerical code based on the method of moments (MoM) to design and optimize wire antennas. The PSO is a robust stochastic evolutionary numerical technique that is very effective in optimizing multidimensional problems. The goal of the present work is to design wire antennas operating in a wide frequency range with a high gain level. A modified PSO algorithm will be presented in order to increase the efficiency in terms of convergence.
Originele taal-2Engels
TitelProceeding of the 2007 International Conference on Electromagnetics in Advanced Applications (ICEAA 2007) 17-21 September 2007, Torino, Italy
RedacteurenR.D. Graglia
Plaats van productieTorino, Italy
UitgeverijPolitecnico di Torino
Pagina's1-4
ISBN van geprinte versie978-1-424-40766-8
DOI's
StatusGepubliceerd - 2007
Evenement10th International Conference on Electromagnetics in Advanced Applications (ICEAA 2007) - Torino, Italië
Duur: 17 sep 200721 sep 2007
Congresnummer: 10

Congres

Congres10th International Conference on Electromagnetics in Advanced Applications (ICEAA 2007)
Verkorte titelICEAA 2007
Land/RegioItalië
StadTorino
Periode17/09/0721/09/07
AnderICEAA 2007, Torino, Italy

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