Title :
Design of Wire Antennas by Using an Evolved Particle Swarm Optimization Algorithm
Author :
Rogovich, A. ; Marasini, C. ; Monorchio, A. ; Lepelaars, E. S AM ; Zwamborn, A.P.M.
Author_Institution :
Pisa Univ., Pisa
Abstract :
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.
Keywords :
method of moments; particle swarm optimisation; wire antennas; evolved particle swarm optimization algorithm; full-wave numerical code; method of moments; robust stochastic evolutionary numerical technique; wire antennas; Algorithm design and analysis; Convergence; Design optimization; Frequency; Moment methods; Multidimensional systems; Particle swarm optimization; Robustness; Stochastic processes; Wire;
Conference_Titel :
Electromagnetics in Advanced Applications, 2007. ICEAA 2007. International Conference on
Conference_Location :
Torino
Print_ISBN :
978-1-4244-0767-5
Electronic_ISBN :
978-1-4244-0767-5
DOI :
10.1109/ICEAA.2007.4387271
