An implicit context representation for evolving image processing filters

Authors:
Stephen L. Smith;Stefan Leggett;Andrew M. Tyrrell
Affiliations:
Department of Electronics, The University of York, Heslington, York, UK;Department of Electronics, The University of York, Heslington, York, UK;Department of Electronics, The University of York, Heslington, York, UK
Venue:
EC'05 Proceedings of the 3rd European conference on Applications of Evolutionary Computing
Year:
2005

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Abstract

This paper describes the implementation of a representation for Cartesian Genetic Programming (CGP) in which the specific location of genes within the chromosome has no direct or indirect influence on the phenotype. The mapping between the genotype and phenotype is determined by selforganised binding of the genes, inspired by enzyme biology. This representation has been applied to a version of CGP developed especially for evolution of image processing filters and preliminary results show it outperforms the standard representation in some configurations.