An Ecological Approach to Measuring Locality in Linear Genotype to Phenotype Maps

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{seaton:2012:EuroGP,

• author = "Tom Seaton and Julian F. Miller and Tim Clarke",
• title = "An Ecological Approach to Measuring Locality in Linear Genotype to Phenotype Maps",
• booktitle = "Proceedings of the 15th European Conference on Genetic Programming, EuroGP 2012",
• year = "2012",
• month = "11-13 " # apr,
• editor = "Alberto Moraglio and Sara Silva and Krzysztof Krawiec and Penousal Machado and Carlos Cotta",
• series = "LNCS",
• volume = "7244",
• publisher = "Springer Verlag",
• address = "Malaga, Spain",
• pages = "170--181",
• organisation = "EvoStar",
• keywords = "genetic algorithms, genetic programming, cartesian genetic programming, Locality",
• isbn13 = "978-3-642-29138-8",
• DOI = "doi:10.1007/978-3-642-29139-5_15",
• size = "12 pages",
• 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.",
• 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