Your browser does not support JavaScript!

Dynamic particle swarm optimisation for the design of loaded wire antennas

Dynamic particle swarm optimisation for the design of loaded wire antennas

For access to this article, please select a purchase option:

Buy article PDF
(plus tax if applicable)
Buy Knowledge Pack
10 articles for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Your details
Why are you recommending this title?
Select reason:
IET Microwaves, Antennas & Propagation — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

A modified particle swarm optimisation (PSO) algorithm, the dynamic PSO, is proposed to obtain a better convergence rate, thus increasing the overall efficiency of the algorithm. To prove the effectiveness of the method, wire antennas operating over a wide frequency range have been optimised and tested.


    1. 1)
      • G.J. Burke , A.J. Poggio . (1992) Numerical electromagnetics code (NEC4), method of moment.
    2. 2)
    3. 3)
    4. 4)
    5. 5)
    6. 6)
    7. 7)
    8. 8)
      • American Technology Ceramics (ATC), available at
    9. 9)
    10. 10)
      • Rogovich, A., Marasini, C., Monorchio, A., Lepelaars, E.S.A.M., Zwamborn, A.P.M.: `Design of wire antennas by using an evolved particle swarm optimization algorithm', Int. Conf. on Electromagnetics in Advance Applications (ICEAA '07), 17–21 September 2007, Torino, Italy, p. 199–202.
    11. 11)
    12. 12)
      • Kennedy, J., Eberhart, R.: `Particle swarm optimization', Proc. IEEE Conf. Neural Networks, November 1995, Perth, Australia, p. 1942–1948.
    13. 13)

Related content

This is a required field
Please enter a valid email address