1. A method for at least partially fitting a medical implant system to a patient comprising: executing a genetic algorithm to select a determined value set comprising determined values for a plurality of fitting parameters, the genetic algorithm comprising: presenting signals processed by a plurality of value sets to the patient using the medical implant system; receiving patient feedback in response to the presented signals processed by the value sets; selecting, based on the patient feedback, one or more of the value sets; computing a likelihood of convergence for at least one determined value of the value set using determined values from a plurality of previously generated generations and not using determined values from one or more of the previously generated generations, the likelihood of convergence for each determined value being a probability that the determined value equals a corresponding reference value; generating a successive generation of value sets using said selected one or more value sets; and repeating the steps of presenting, receiving, selecting, and generating until the computed likelihood of convergence exceeds a confidence level; and providing said determined value set to said medical implant system for use in providing stimulation to the patient.