Finding Needles in Haystacks is not Hard with Neutrality
Created by W.Langdon from
gp-bibliography.bib Revision:1.7975
- @InProceedings{yu:2002:EuroGP,
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title = "Finding Needles in Haystacks is not Hard with
Neutrality",
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author = "Tina Yu and Julian F. Miller",
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editor = "James A. Foster and Evelyne Lutton and
Julian Miller and Conor Ryan and Andrea G. B. Tettamanzi",
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booktitle = "Genetic Programming, Proceedings of the 5th European
Conference, EuroGP 2002",
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volume = "2278",
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series = "LNCS",
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pages = "13--25",
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publisher = "Springer-Verlag",
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address = "Kinsale, Ireland",
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publisher_address = "Berlin",
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month = "3-5 " # apr,
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year = "2002",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "3-540-43378-3",
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URL = "http://www.cs.mun.ca/~tinayu/index_files/addr/public_html/EuroGP2002.pdf",
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DOI = "doi:10.1007/3-540-45984-7_2",
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abstract = "We propose building neutral networks in
needle-in-haystack fitness landscapes to assist an
evolutionary algorithm to perform search. The
experimental results on four different problems show
that this approach improves the search success rates in
most cases. In situations where neutral networks do not
give performance improvement, no impairment occurs
either. We also tested a hypothesis proposed in our
previous work. The results support the hypothesis: when
the ratio of adaptive/neutral mutations during neutral
walk is close to that of fitness improvement step, the
evolutionary search has a high success rate. Moreover,
the ratio magnitudes indicate that more neutral
mutations (than adaptive mutations) are required for
the algorithms to find a solution in this type of
search space.",
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notes = "EuroGP'2002, part of \cite{lutton:2002:GP} See also
\cite{Yu:2006:AL}",
- }
Genetic Programming entries for
Tina Yu
Julian F Miller
Citations