A polygonal immune-inspired framework for broadband patch antenna design

Abstract

In this work, we present a novel paradigm for the bottom-up project of patch antennas. This paradigm is based on a polygonal immune-inspired framework, being the chosen artificial immune system the CLONALG algorithm. In order to employ this new strategy, it was necessary to build a software platform to properly use the electromagnetic CST solver and provide a source engine to evolve antenna designs. We believe this development to be a contribution per se. The presented results show that the method was able to obtain low profile antennas with broadband characteristics by the exploration of unconventional patch shapes.