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Redundancy and computational efficiency in Cartesian genetic programming

Miller, J.F. and Smith, S.L. (2006) Redundancy and computational efficiency in Cartesian genetic programming. IEEE Transaction on Evolutionary Computation, 10 (2). pp. 167-174. ISSN 1089-778X

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Abstract

The graph-based Cartesian genetic programming system has an unusual genotype representation with a number of advantageous properties. It has a form of redundancy whose role has received little attention in the published literature. The representation has genes that can be activated or deactivated by mutation operators during evolution. It has been demonstrated that this "junk" has a useful role and is very beneficial in evolutionary search. The results presented demonstrate the role of mutation and genotype length in the evolvability of the representation. It is found that the most evolvable representations occur when the genotype is extremely large and in which over 95% of the genes are inactive.

Item Type: Article
Institution: The University of York
Academic Units: The University of York > Electronics (York)
Depositing User: York RAE Import
Date Deposited: 28 May 2009 15:36
Last Modified: 28 May 2009 15:36
Published Version: http://dx.doi.org/10.1109/TEVC.2006.871253
Status: Published
Publisher: IEEE
Identification Number: 10.1109/TEVC.2006.871253
URI: http://eprints.whiterose.ac.uk/id/eprint/6202

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