Genetic Code Degeneracy: Implications for Grammatical Evolution and Beyond
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{oneill:1999:ECAL,
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author = "M. O'Neill and C. Ryan",
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title = "Genetic Code Degeneracy: Implications for Grammatical
Evolution and Beyond",
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booktitle = "Advances in Artificial Life",
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year = "1999",
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editor = "D. Floreano and J.-D. Nicoud and F. Mondada",
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volume = "1674",
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series = "LNAI",
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pages = "149--153",
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language = "English",
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address = "Lausanne",
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month = "13-17 " # sep,
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publisher = "Springer Verlag",
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keywords = "genetic algorithms, genetic programming, grammatical
evolution",
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ISBN = "3-540-66452-1",
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URL = "http://ncra.ucd.ie/papers/ecal99.ps.gz",
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URL = "http://www.springer.de/cgi-bin/search_book.pl?isbn=3-540-66452-1",
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DOI = "doi:10.1007/3-540-48304-7_21",
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size = "5 pages",
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abstract = "Grammatical Evolution (GE) is a grammar-based GA which
generates computer programs. GE has the distinction
that its input is a BNF, which permits it to generate
programs in any language, of arbitrary complexity. Part
of the power of GE is that it is closer to natural DNA
than other Evolutionary Algorithms, and thus can
benefit from natural phenomena such as a separation of
search and solution spaces through a genotype to
phenotype mapping, and a genetic code degeneracy which
can give rise to silent mutations that have no effect
on the phenotype. It has previously been shown how runs
of GE are competitive with GP, and in this paper we
analyse the feature of genetic code degeneracy, and its
implications for genotypic diversity. Results show that
genetic diversity is improved as a result of degeneracy
in the genetic code for the problem domains addressed
here.",
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notes = "ECAL-99",
- }
Genetic Programming entries for
Michael O'Neill
Conor Ryan
Citations