Human- and Machine Design: Resonant-Size Antennas

Random-based global optimization algorithms have been widely used for antenna shape design, primarily in situations where a human-knowledge based solution is not available. In this contribution we study the behavior of random-based global optimization in situations where the design can be addressed with a standard human-based design approach and human-driven parameter tweaking via simulations. The present case study is a resonant patch-type antenna with probe feeding.