1. A method for determining an optimal classifier model for a pattern recognition system, comprising: selecting a plurality of initial classifier models from a set of available classifier models; producing an optimal representative classifier for each classifier model according to an iterative optimization routine; and accepting the representative classifier having a best associated value for a fitness function.