VSIE Method with Genetic Algorithm for Optimizing RCS Reduction From Composite Targets

In this paper, an optimization technique based on volume surface integral equation (VSIE) method and genetic algorithm (GA) is proposed for the radar cross section (RCS) reduction from composite metallic and dielectric (CMD) targets. This VSIE scheme utilizes the tetrahedral/triangular elements for volume (surface) modeling, and the SWG/RWG basis functions for volume/surface current modeling. The solutions of VSIE for the electromagnetic scattering of CMD targets is integrated into a genetic algorithm (GA) optimization technique to obtain the best optimal composite coating by optimizing the permittivity parameters. In contrast to the traditional VSIE, our scheme, which is reported for the first time in VSIE-GA, shows much more flexible, and requires less computational time without loss of solution accuracy. Numerical results are given to demonstrate the accuracy, efficiency, and flexibility of this proposed VSIE-GA method.