1. A method for at least partially fitting a medical implant system to a patient comprising: presenting signals processed according to a current generation of value sets for a plurality of fitting parameters to the patient using the medical implant system; receiving patient feedback in response to the presented signals; executing a genetic algorithm to generate a next generation of the value sets, the genetic algorithm including: selecting, based on the feedback, one or more of the value sets from amongst the current generation; computing a likelihood of convergence for at least one value of each selected value set using values from newer generations while selectively excluding values from one or more older generations; generating a next generation of value sets using the selected one or more value sets; treating the next generation as the current generation; and repeating the steps of presenting, receiving and executing until the likelihood of convergence exceeds a confidence level; and providing, once the confidence level has been exceeded, a selected one of the current generation of value sets to the medical implant system.