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.
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Smith, S.L., Leggett, S., Tyrrell, A.M. (2005). An Implicit Context Representation for Evolving Image Processing Filters. In: Rothlauf, F., et al. Applications of Evolutionary Computing. EvoWorkshops 2005. Lecture Notes in Computer Science, vol 3449. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-32003-6_41
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DOI: https://doi.org/10.1007/978-3-540-32003-6_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25396-9
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