On Use of Node-attached Modules with Ancestry Tracking in Genetic Programming

The paper presents a new approach towards modular genetic programming. The modules are generated automatically and dynamically. They are node-attached and contained in the individual. Their ancestry is being tracked so as to allow for remapping to related modules. The performance of the proposed framework is demonstrated on the even-n-parity problem. A comparison with the results achieved using Automatically Defined Functions as proposed by John Koza is provided.