Gain scheduling is a simple and common means of providing adaptive control by varying controller parameters based on measurements of key system variables. While some theoretical foundation has been developed, it remains largely ad hoc, particularly in selecting the mapping from the measured variable to the controller parameter. This paper reports the results of applying genetic algorithms to the optimization of a simple gain scheduled controller.