Feature Extraction Using Coevolutionary Genetic
Programming
Proceedings of the 2004 IEEE Congress on Evolutionary
Computation, page 614--619. Portland, Oregon, IEEE Press, (20-23 June 2004)Abstract
We propose a new feature extraction method using
evolutionary computations. The extracted features are
defined as polynomial expressions, which are composed
of the original input pattern. These polynomial
expressions are searched by coevolutionary genetic
programming. We introduce a new fitness function based
on competition between individuals. Experiments are
performed for some databases of UCI repository using
the proposed method and k-Nearest Neighbor rule.
Experimental results show that the proposed method can
preserve the diversity of populations and improve
recognition accuracy on most databases.
