Self Modifying Cartesian Genetic Programming: Fibonacci, Squares, Regression and Summing

Authors:
Simon Harding;Julian F. Miller;Wolfgang Banzhaf
Affiliations:
Department of Computer Science, Memorial University, Canada;Department Of Electronics, University of York, UK;Department of Computer Science, Memorial University, Canada
Venue:
EuroGP '09 Proceedings of the 12th European Conference on Genetic Programming
Year:
2009

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Abstract

Self Modifying CGP (SMCGP) is a developmental form of Cartesian Genetic Programming(CGP). It is able to modify its own phenotype during execution of the evolved program. This is done by the inclusion of modification operators in the function set. Here we present the use of the technique on several different sequence generation and regression problems.