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2010

Developments in Cartesian Genetic Programming: self-modifying CGP

8 years 10 months ago
Developments in Cartesian Genetic Programming: self-modifying CGP
Abstract Self-Modifying Cartesian Genetic Programming (SMCGP) is a general purpose, graph-based, developmental form of Genetic Programming founded on Cartesian Genetic Programming. In addition to the usual computational functions, it includes functions that can modify the program encoded in the genotype. This means that programs can be iterated to produce an infinite sequence of programs (phenotypes) from a single evolved genotype. It also allows programs to acquire more inputs and produce more outputs during this iteration. We discuss how SMCGP can be used and the results obtained in several different problem domains, including digital circuits, generation of patterns and sequences, and mathematical problems. We find that SMCGP can efficiently solve all the problems studied. In addition, we prove mathematically that evolved programs can provide general solutions to a number of problems: n-input even-parity, n-input adder, and sequence approximation to π. Keywords Cartesian Genetic...
Simon Harding, Julian F. Miller, Wolfgang Banzhaf
Added 25 Jan 2011
Updated 25 Jan 2011
Type Journal
Year 2010
Where GPEM
Authors Simon Harding, Julian F. Miller, Wolfgang Banzhaf
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