An Ecological Approach to Measuring Locality in Linear Genotype to Phenotype Maps
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{seaton:2012:EuroGP,
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author = "Tom Seaton and Julian F. Miller and Tim Clarke",
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title = "An Ecological Approach to Measuring Locality in Linear
Genotype to Phenotype Maps",
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booktitle = "Proceedings of the 15th European Conference on Genetic
Programming, EuroGP 2012",
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year = "2012",
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month = "11-13 " # apr,
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editor = "Alberto Moraglio and Sara Silva and
Krzysztof Krawiec and Penousal Machado and Carlos Cotta",
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series = "LNCS",
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volume = "7244",
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publisher = "Springer Verlag",
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address = "Malaga, Spain",
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pages = "170--181",
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organisation = "EvoStar",
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keywords = "genetic algorithms, genetic programming, cartesian
genetic programming, Locality",
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isbn13 = "978-3-642-29138-8",
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DOI = "doi:10.1007/978-3-642-29139-5_15",
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size = "12 pages",
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abstract = "Recent research has considered the role of locality in
GP representations. We use a modified statistical
technique drawn from numerical ecology, the Mantel
test, to measure the locality of integer-encoded GP.
Weak locality is identified in a case study on
Cartesian Genetic Programming (CGP), a directed acyclic
graph representation. A method of varying syntactic
program locality continuously through the application
of a biased mutation operator is demonstrated. The
impact of varying locality under the new measure is
assessed over a randomly generated set of polynomial
symbolic regression problems. We observe that enforcing
higher levels of locality in CGP is associated with
poorer performance on the problem set and discuss
implications in the context of existing models of GP
genotype-phenotype maps.",
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notes = "Part of \cite{Moraglio:2012:GP} EuroGP'2012 held in
conjunction with EvoCOP2012 EvoBIO2012, EvoMusArt2012
and EvoApplications2012",
- }
Genetic Programming entries for
Tom Seaton
Julian F Miller
Tim Clarke
Citations