GENETIC ANTENNA OPTIMIZATION: A TALE OF TWO CHROMOSOMES

摘要

In this paper, we describe how to apply genetic algorithm (GA) optimization techniques to two diverse antenna optimization problems: electrically-small bent-wire antennas and a digital ionosonde transmit antenna. For each of these we present a description of the problem and one or more ways in which it can be modeled for genetic algorithm optimization. The goal of this paper is not to present optimal results for each of these antenna design areas, but rather to illustrate how antenna optimization problems can be translated into chromosome representations for genetic algorithm optimization. Lessons learned from using different chromosome representations are presented, along with simulated and measured results as available.