Parallel PSO/FDTD algorithm for the optimization of patch antennas and EBG structures

Author

Jin, Nanbo ; Rahmat-Samii, Yahya

Author_Institution

Dept. of Electr. Eng., California Univ., Los Angeles, CA, USA

fYear

2005

fDate

3-7 April 2005

Firstpage

582

Lastpage

585

Abstract

A novel evolutionary optimization technique is presented in this paper by introducing its applications in some representative electromagnetic design problems. The kernel of the optimizer applies particle swarm optimization (PSO) algorithm, and the fitness functions are evaluated by finite difference time domain (FDTD) simulations. The algorithm is executed on parallel clusters to reduce computational time caused by foil-wave analysis. The performances of the optimized patch antennas and electromagnetic band-gap (EBG) structures validate the robustness of the algorithm in various electromagnetic applications.

Keywords

evolutionary computation; finite difference time-domain analysis; microstrip antennas; particle swarm optimisation; photonic band gap; FDTD algorithm; electromagnetic band-gap structures; electromagnetic design problems; evolutionary optimization technique; finite difference time domain; fitness functions; foil-wave analysis; parallel clusters; particle swarm optimization algorithm; patch antennas; Clustering algorithms; Computational modeling; Design optimization; Finite difference methods; Kernel; Metamaterials; Particle swarm optimization; Patch antennas; Periodic structures; Time domain analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications and Applied Computational Electromagnetics, 2005. IEEE/ACES International Conference on

Print_ISBN

0-7803-9068-7

Type

conf

DOI

10.1109/WCACEM.2005.1469655

Filename

1469655