Abstract: The present invention is a method of evolving classifier programs for signal processing and control. The present invention uses an ‘evolver’ program examine a large number of potential features, which may be from multiple signals to create a ‘classifier’ program. The output of the classifier program is compared to the desired output. One or more classifier programs is then created and optimized by the evolver program by means of genetic programming. The desired output is again compared to actual classifier program output and the difference is used as a measure of fitness to guide the evolution of the classifier program. The optimized classifier program produced by the present invention is fitter than the background art at correctly providing a repeatable and accurate output, especially for complex and simultaneous input signals.