Artificial Life III, SFI Studies in the Sciences of Complexity. Koza, John R. 1994d. Evolution of a computer program for classifying protein segments as transmembrane domains using genetic programming. Proceedings of the Second International Conference on Intelligent Systems for Molecular Biology. Automatic function definition enables genetic programming to dynamically create subroutines dynamically during the run.
Correlation is used as the fitness measure to drive the evolutionary process.
This error rate is better than that reported for four other algorithms reported at the First International Conference on Intelligent Systems for Molecular Biology. Our genetically evolved program is an instance of an algorithm discovered by an automated learning paradigm that is superior to that written by human investigators. Click for a Postscript copy of this ISMB-94 conference paper . Koza, J. R. 1994e. Evolution of a subsumption architecture that performs a wall following task for an autonomous mobile robot via genetic programming.