Alternatives in Automatic Function Definition: A Comparison Of Performance
Created by W.Langdon from
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- @InCollection{kinnear:kinnear,
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author = "Kenneth E. {Kinnear, Jr.}",
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title = "Alternatives in Automatic Function Definition: A
Comparison Of Performance",
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booktitle = "Advances in Genetic Programming",
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publisher = "MIT Press",
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editor = "Kenneth E. {Kinnear, Jr.}",
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year = "1994",
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pages = "119--141",
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chapter = "6",
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keywords = "genetic algorithms, genetic programming, Hoist
(shrink) mutation, ADF, MA, GLib",
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institution = "Adaptive Computing Technology",
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URL = "http://www.amazon.co.uk/Advances-Genetic-Programming-Complex-Adaptive/dp/0262111888",
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URL = "http://cognet.mit.edu/sites/default/files/books/9780262277181/pdfs/9780262277181_chap6.pdf",
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DOI = "doi:10.7551/mitpress/1108.003.0011",
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size = "23 pages",
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abstract = "Two approaches to the automatic definition of
functions are compared, Koza's Automatically Defined
Functions (ADF) and Angeline and Pollack's Module
Acquisition (MA). Their effect on the likelihood of
evolving a correct solution to the even-4-parity
problem is contrasted, with the use of ADFs causing a
significant improvement and MA having no apparent
effect. Through a variety of experiments the
differences in these approaches are explored.
Ultimately it is concluded that the ADF approach
creates a particular form of structural regularity that
strongly increases the likelihood of evolving a correct
solution to the even-4-parity problem - a form of
structural regularity not present in the MA approach. A
similar type of structural regularity can be created by
a new genetic operator called modular crossover,
created from the primitives used in the MA approach.",
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size = "22 pages",
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notes = "Part of \cite{kinnear:book}",
- }
Genetic Programming entries for
Kenneth E Kinnear Jr
Citations