The Donut Problem: Scalability and Generalization in Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.6946
- @InCollection{kinnear:tackett,
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author = "Walter Alden Tackett and Aviram Carmi",
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institution = "HMSC",
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title = "The Donut Problem: Scalability and Generalization in
Genetic Programming",
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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 = "143--176",
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chapter = "7",
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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_chap7.pdf",
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keywords = "genetic algorithms, genetic programming, Doughnut
problem",
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abstract = "The Donut problem requires separating two toroidal
distributions (classes) which are interlocked like
links in a chain. The cross-section of each
distribution is Gaussian distributed with standard
deviation sigma. This problem possesses a variety of
pathological traits: the mean of each distribution, for
example, lies in the densest point of the other.",
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size = "34 pages",
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notes = "see also
http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/ftp.io.com/papers/.message
ICGA93.Donut.ps.Z - Preliminary version of Avi and
Walter's ICGA93 paper",
- }
Genetic Programming entries for
Walter Alden Tackett
Aviram Carmi
Citations
