Positional Cartesian Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @Misc{Wilson:2018:arxiv,
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author = "Dennis George Wilson and Julian F. Miller and
Sylvain Cussat-Blanc and Herve Luga",
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title = "Positional Cartesian Genetic Programming",
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year = "2018",
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month = "9 " # oct,
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keywords = "genetic algorithms, genetic programming, cartesian
genetic programming",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/journals/corr/corr1810.html#abs-1810-04119",
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URL = "http://arxiv.org/abs/1810.04119",
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size = "13 pages",
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abstract = "Cartesian Genetic Programming (CGP) has many
modifications across a variety of implementations, such
as recursive connections and node weights. Alternative
genetic operators have also been proposed for CGP, but
have not been fully studied. In this work, we present a
new form of genetic programming based on a floating
point representation. In this new form of CGP, called
Positional CGP, node positions are evolved. This allows
for the evaluation of many different genetic operators
while allowing for previous CGP improvements like
recurrency. Using nine benchmark problems from three
different classes, we evaluate the optimal parameters
for CGP and PCGP, including novel genetic operators.",
- }
Genetic Programming entries for
Dennis G Wilson
Julian F Miller
Sylvain Cussat-Blanc
Herve Luga
Citations