Modeling of microwave absorbing structure using winning particle optimization applied on electrically conductive nanostructured composite material

This work presents the design and optimization of a Radar Absorbing Material system in the X-band frequency using evolutionary algorithm. Winning Particle Optimization is a new evolutionary algorithm. Due to its elementary evolving mechanism, it recall in mind primordial life form in trying to search the best place to proliferate. It is shown that such method, is quite simple but at the same time very effective in finding an optimal solution in Radar Absorbing Material design and optimization problems. Radar Absorbing Material optimized is mainly a multilayer structure based on carbon nanomaterials like Carbon-Nanotube, Fullerene, Micrographite, Carbon-Nanofiber. The design and optimization process consists in find the best multilayer structure in terms of lowest thickness and simultaneously lowest electromagnetic reflection coefficient within all the frequency range and for several incidence angles. In order to validate the design procedure a simple multilayer structure has been built and tested using NRL arch method, the close behavior between simulated and measured RAM confirmed the validity of design procedure.