Evolution of Genetic Code on a Hard Problem
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{keller:2001:gecco,
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title = "Evolution of Genetic Code on a Hard Problem",
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author = "Robert E. Keller and Wolfgang Banzhaf",
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pages = "50--56",
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year = "2001",
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publisher = "Morgan Kaufmann",
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booktitle = "Proceedings of the Genetic and Evolutionary
Computation Conference (GECCO-2001)",
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editor = "Lee Spector and Erik D. Goodman and Annie Wu and
W. B. Langdon and Hans-Michael Voigt and Mitsuo Gen and
Sandip Sen and Marco Dorigo and Shahram Pezeshk and
Max H. Garzon and Edmund Burke",
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address = "San Francisco, California, USA",
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publisher_address = "San Francisco, CA 94104, USA",
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month = "7-11 " # jul,
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keywords = "genetic algorithms, genetic programming, genetic code,
real-world problem, noise filtering, developmental
genetic programming, genotype-phenotype mapping,
self-adaptation",
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ISBN = "1-55860-774-9",
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URL = "http://gpbib.cs.ucl.ac.uk/gecco2001/d01.pdf",
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size = "7 pages",
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abstract = "In most Genetic Programming (GP) approaches, the space
of genotypes, that is the searchspace, is identical to
the space of phenotypes, that is the solution space.
Developmental approaches, like Developmental Genetic
Programming (DGP), distinguish between genotypes and
phenotypes and use a genotype-phenotype mapping prior
to fitness evaluation of a phenotype. To perform this
mapping, DGP uses a genetic code, that is, a mapping
from genotype components to phenotype components. The
genotype-phenotype mapping is critical for the
performance of the underlying search process which is
why adapting the mapping to a given problem is of
interest. Previous work shows, on an easy synthetic
problem, the feasibility of code evolution to the
effect of a problem-specific self-adaptation of the
mapping. The present empirical work delivers a
demonstration of this effect on a hard synthetic
problem, showing the real-world potential of code
evolution which increases the occurrence of relevant
phenotypic components and reduces the occurrence of
components that represent noise.",
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notes = "GECCO-2001 A joint meeting of the tenth International
Conference on Genetic Algorithms (ICGA-2001) and the
sixth Annual Genetic Programming Conference (GP-2001)
Part of \cite{spector:2001:GECCO}",
- }
Genetic Programming entries for
Robert E Keller
Wolfgang Banzhaf
Citations