Automatic Rule Acquisition of Classifier Systems by Genetic Algorithm Based on the Coexistence of Heterogeneous Populations

Abstract

We propose an automatic rule acquisition method for obtaining the optimal sized classifier systems by genetic algorithm considering the coexistence of heterogeneous populations. The genetic algorithm used in this method, has a new genetic operation called ``the movement of individual among heterogeneous populations" to generate suitable sized classifier systems automatically. Experimental results are also shown in order to demonstrate the effectiveness of the proposed method.