Stochastic Optimization of a Patch Antenna

Authors

  • S. Alfonzetti Dipartimento di Ingegneria Elettrica, Elettronica e dei Sistemi (DIEES) Università di Catania, 95125Catania, Italy
  • E. Dilettoso Dipartimento di Ingegneria Elettrica, Elettronica e dei Sistemi (DIEES) Università di Catania, 95125Catania, Italy
  • N. Salerno Dipartimento di Ingegneria Elettrica, Elettronica e dei Sistemi (DIEES) Università di Catania, 95125Catania, Italy
  • G. Borzì Dipartimento di Ingegneria Civile Università di Messina, 98166 Messina, Italy

Keywords:

Stochastic Optimization of a Patch Antenna

Abstract

The paper describes an efficient technique for optimizing the shape of the patch of a multi-band antenna by means of Genetic Algorithms and the hybrid FEM– RBCI method, for the analysis of open-boundary scattering and radiation electromagnetic field problems. The admissible rectangular patch area is logically and regularly subdivided into rectangular sub-areas, coinciding with the trace of the tetrahedral edge element mesh on the patch surface. In this way the relevant matrices of the finite element algebraic system, computed at the beginning of the optimization, remain unchanged, even if the patch is changed by inserting some metallic sub-areas. Moreover, in order to reduce the computing time of the iterative solver, the solution of a similar patch configuration is used as the initial guess for the solver.

Downloads

Download data is not yet available.

References

J. M. Johnson and Y. Rahmat -Samii, “Genetic algorithms

and method of moments (GA/ MoM) for the design of

integrated antennas,” IEEE Trans. Antennas Propagat. ,

vol. 47, pp. 1606–1614, Oct. 1999.

Z. Li, Y. E. Erdemli, J. L. Volakis, and P. Y. Papalambros,

“Design Optimization of Conformal Antennas by

Integrating Stochastic Algorithms With the Hybrid Finite-

Element Method,” IEEE Trans. Antennas Propagat., vol.

, pp. 676–684, May 2002.

D. E. Goldberg, Genetic Algorithms in Search,

Optimization & Machine Learning, Addison Wesley,

Massachusetts, 1989.

S. Alfonzetti, E. Dilettoso, N. Salerno, “A Proposal for a

Universal Parameter Configur ation for Genetic Algorithm

Optimization of Electromagnetic Devices,” IEEE Trans.

Magn., vol. 37, pp. 3208-3211, Sept. 2001.

S. Alfonzetti and G. Borzì, “Finite Element Solution to

Electromagnetic Scattering Problems by means of the

Robin Boundary Condition Iteration Method,” IEEE

Trans. Antennas Propagat. , vol. 50, pp. 132-140, Feb.

S. Alfonzetti, B. Azzerboni, and G. Borzì, “Numerical

Computation of Antenna Parameters by means of RBCI,”

Electromagnetics, vol. 22, pp. 381-392, 2002.

J. Jin, The Finite Element Method in Electromagnetics.

New York, John Wiley & Sons Inc, 1993.

J. A. Kong, Electromagnetic Wave Theory. New York, J.

Wiley & Sons Inc, 1986.

S. Y. Wang and K. Tai, “A Constraint Handling Strategy

for Bit-Array Representation GA in Structural Topology

Optimization,” 4th SMA Annual Symp., Singapore, pp. 19-

, Jan. 2004

G. Aiello, S. Alfonzetti, G. Borzì, and N. Salerno, “An

overview of the ELFIN code for finite element research in

electrical engineering,” in Software for Electrical

Engineering Analysis and Design IV , A. Konrad and C. A.

Brebbia (editors), WIT Press, Southampton, 1999.

H. A. van der Vorst and J. Melissen, “A Petrov-Galerkin

type method for solving Ax=b where A is symmetric

complex,” IEEE Trans. Magn., vol. 26, pp. 706-708, 1990.

R. Barrett et al., Templates for the Solution of Linear

Systems: Building Blocks fo r Iterative Methods, SIAM,

Philadelphia, 1994

Downloads

Published

2022-06-17

How to Cite

[1]
S. . Alfonzetti, E. . Dilettoso, N. . Salerno, and G. . Borzì, “Stochastic Optimization of a Patch Antenna”, ACES Journal, vol. 23, no. 3, pp. 237–242, Jun. 2022.

Issue

Section

General Submission