A Complex Image Reduction Technique Using Genetic Algorithm for the MoM Solution of Half-Space MPIE

Author

Bi-Yi Wu ; Xin-Qing Sheng

Author_Institution

Center of Electromagn. Simulation, Beijing Inst. of Technol., Beijing, China

Volume

63

Issue

8

fYear

2015

fDate

Aug. 2015

Firstpage

3727

Lastpage

3731

Abstract

The discrete complex image method (DCIM) has been widely used to analytically approximate the Sommerfeld integrals (SIs) of Green´s functions in layered media. This method has been greatly improved in accuracy and generality in the past years, but has resulted in a large amount of complex images. It is found that using so many complex images for SI approximation in method of moment (MoM) applications is redundant and inefficient. To reduce the number of complex images, a technique by means of genetic algorithm is proposed and applied to the MoM solution of the half-space mixed-potential integral equation (MPIE).

Keywords

Green´s function methods; approximation theory; electromagnetic wave scattering; genetic algorithms; integral equations; method of moments; DCIM; Green´s functions; MoM solution; SI approximation; Sommerfeld integrals; complex image reduction technique; discrete complex image method; electromagnetic scattering; genetic algorithm; half-space MPIE; half-space mixed-potential integral equation; method of moment; Approximation methods; Genetic algorithms; Green´s function methods; Method of moments; Nonhomogeneous media; Silicon; Closed-form Green’s functions; Closed-form Green???s functions; Genetic Algorithm; Method of Moment(MoM); discrete complex image method (DCIM); discrete complex image method(DCIM); genetic algorithm; method of moment (MoM);

fLanguage

English

Journal_Title

Antennas and Propagation, IEEE Transactions on

Publisher

ieee

ISSN

0018-926X

Type

jour

DOI

10.1109/TAP.2015.2434418

Filename

7109847