| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 709692 | IFAC Proceedings Volumes | 2012 | 6 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
