A new Hierarchical co-evolutionary learning method is proposed based on Michigan approach and Pitt approach. The two populations belong to deferent levels of intelligence. Deferent genetic operators are used independently in Michigan population and Pitt population via co-evolutionary method. and the interacting genetic operators are used interpopulations. Simulation experiments show that the methods can amend the short sight characteristic of the classifier system and improve its intelligence.