A Survey of Self Modifying Cartesian Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InCollection{Harding:2010:GPTP,
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author = "Simon Harding and Wolfgang Banzhaf and
Julian F. Miller",
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title = "A Survey of Self Modifying Cartesian Genetic
Programming",
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booktitle = "Genetic Programming Theory and Practice VIII",
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year = "2010",
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editor = "Rick Riolo and Trent McConaghy and
Ekaterina Vladislavleva",
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series = "Genetic and Evolutionary Computation",
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volume = "8",
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address = "Ann Arbor, USA",
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month = "20-22 " # may,
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publisher = "Springer",
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chapter = "6",
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pages = "91--107",
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keywords = "genetic algorithms, genetic programming, cartesian
genetic programming, developmental systems",
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isbn13 = "978-1-4419-7746-5",
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URL = "http://www.springer.com/computer/ai/book/978-1-4419-7746-5",
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DOI = "doi:10.1007/978-1-4419-7747-2_6",
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abstract = "Self-Modifying Cartesian Genetic Programming (SMCGP)
is a general purpose, graph-based, developmental form
of Cartesian Genetic Programming. In addition to the
usual computational functions found in CGP, SMCGP
includes functions that can modify the evolved program
at run time. This means that programs can be iterated
to produce an infinite sequence of phenotypes from a
single evolved genotype. Here, we discuss the results
of using SMCGP on a variety of different problems, and
see that SMCGP is able to solve tasks that require
scalability and plasticity. We demonstrate how SMCGP is
able to produce results that would be impossible for
conventional, static Genetic Programming techniques.",
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notes = "part of \cite{Riolo:2010:GPTP}",
- }
Genetic Programming entries for
Simon Harding
Wolfgang Banzhaf
Julian F Miller
Citations