Developments in Cartesian Genetic Programming: self-modifying CGP
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @Article{Harding:2010:GPEM,
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author = "Simon Harding and Julian F. Miller and
Wolfgang Banzhaf",
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title = "Developments in Cartesian Genetic Programming:
self-modifying CGP",
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journal = "Genetic Programming and Evolvable Machines",
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year = "2010",
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volume = "11",
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number = "3/4",
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pages = "397--439",
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month = sep,
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note = "Tenth Anniversary Issue: Progress in Genetic
Programming and Evolvable Machines",
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keywords = "genetic algorithms, genetic programming, Cartesian
Genetic Programming, Developmental systems",
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ISSN = "1389-2576",
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DOI = "doi:10.1007/s10710-010-9114-1",
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URL = "http://results.ref.ac.uk/Submissions/Output/3354577",
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size = "43 pages",
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abstract = "Self-modifying Cartesian Genetic Programming (SMCGP)
is a general purpose, graph-based, developmental form
of Genetic Programming founded on Cartesian Genetic
Programming. In addition to the usual computational
functions, it includes functions that can modify the
program encoded in the genotype. This means that
programs can be iterated to produce an infinite
sequence of programs (phenotypes) from a single evolved
genotype. It also allows programs to acquire more
inputs and produce more outputs during this iteration.
We discuss how SMCGP can be used and the results
obtained in several different problem domains,
including digital circuits, generation of patterns and
sequences, and mathematical problems. We find that
SMCGP can efficiently solve all the problems studied.
In addition, we prove mathematically that evolved
programs can provide general solutions to a number of
problems: n-input even-parity, n-input adder, and
sequence approximation to pi",
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uk_research_excellence_2014 = "The paper advances evolutionary
computation. Published in this special issue of the
journal to mark its tenth anniversary and calling for
far-reaching and foundational work. The result of
collaborations with Memorial University of
Newfoundland, Canada the paper introduces the concept
of self-modification in Genetic Programming (GP). For
the first time this allows GP to be applied to multiple
instances of problems, and shows that general,
mathematically provable solutions to classes of
problems can be evolved.",
- }
Genetic Programming entries for
Simon Harding
Julian F Miller
Wolfgang Banzhaf
Citations