Integrating Genetic Algorithm with MoM Analysis for Planar Microstrip Structures

An innovative Method of Moments (MoM) analysis using a genetic algorithm for modeling planar structures is presented. An adaptive genetic algorithm (AGA) is used to optimize the choice of trial functions. Two different bases of trial functions are used to model the current density, namely; Daubechies wavelets and sinusoidal functions. The efficient coupling between AGA and the MoM analysis allows a significant reduction of the central processing unit time and the memory storage. Results for a microstrip circuit and patch antennas are presented to show the effectiveness of the method.