Interactive Interpolating Crossover in Grammatical Evolution
Created by W.Langdon from
gp-bibliography.bib Revision:1.7975
- @InProceedings{mcdermott_oneill_brabazon:cec2010,
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author = "James McDermott and Michael O'Neill and
Anthony Brabazon",
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title = "Interactive Interpolating Crossover in Grammatical
Evolution",
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booktitle = "2010 IEEE World Congress on Computational
Intelligence",
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pages = "3018--3025",
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year = "2010",
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address = "Barcelona, Spain",
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month = "18-23 " # jul,
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organization = "IEEE Computational Intelligence Society",
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publisher = "IEEE Press",
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keywords = "genetic algorithms, genetic programming, grammatical
evolution",
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isbn13 = "978-1-4244-6910-9",
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DOI = "doi:10.1109/CEC.2010.5585937",
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size = "8 pages",
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abstract = "Interactive interpolating crossover allows a user to
quickly see a large number of individuals formed by
interactively-controlled interpolation between two or
more parents. We study it here for the first time in
the context of grammatical evolution (GE). We define
methods of quantifying the behaviour of interpolations
and use them to compare two methods of performing
interpolation and two encodings for GE, one standard
and one new. We conclude that a Cartesian interpolation
combined with a novel developmental-style GE encoding
gives the most usable results. We make connections
between our work and broader issues of
genotype-phenotype mappings, landscapes, and
operators.",
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notes = "currying, map, fmap, ADF, HO-ADF,W-gate turtle
graphics, music WCCI 2010. Also known as
\cite{5585937}",
- }
Genetic Programming entries for
James McDermott
Michael O'Neill
Anthony Brabazon
Citations