A multiobjective optimization of a UWB antenna using a self organizing genetic algorithm

This article presents the optimization process of a microstrip antenna designed to operate with ultra‐wideband applications. This optimization process was accomplished by applying a self organizing multiobjective genetic algorithm (GA) to optimize a geometry aspect of a ring monopole antenna (a slit in the ground plane) considering three objectives simultaneously (bandwidth, return loss and central frequency deviation). Each of these objectives are modeled as dependent of two variables (the slit dimensions) and used in a single weighted compound aggregate objective function in which weights are defined by an adjuster GA that uses another GA to evaluate each combination of possible weights. The results were compared with the ones obtained to the same antenna using a simulator program (Ansoft HFSS) and with the results of a real prototype antenna built from the slit dimension optimal values obtained after the optimization process. © 2012 Wiley Periodicals, Inc. Microwave Opt Technol Lett 54:1824–1828, 2012; View this article online at wileyonlinelibrary.com. DOI 10.1002/mop.26945