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

other
2007
Lepelaars, E.S.A.M.

Zwamborn, A.P.M.

Rogovic, A.

Marasini, C.

Monorchio, A.
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. © 2007 IEEE.
Topics
AntennasBoolean functionsElectromagnetismMethod of momentsOptimizationWireConvergence (mathematics)High gainMethod of moments (MoM)Multi dimensional problemsNumerical codesWide frequency rangeWire antennasParticle swarm optimization (PSO)
TNO Identifier
213837
Repository link
https://resolver.tno.nl/uuid:cdc5405f-308e-4560-a036-201a619f90f6
Publisher
IEEE
Source title
2007 IEEE International Conference on Electromagnetics in Advanced Applications - ICEAA '07, Sept. 17-21, 2007, Torino, Italy
Place of publication
Piscataway, NJ
Files
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