Alternatives in Automatic Function Definition: A Comparison Of Performance

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InCollection{kinnear:kinnear,

• author = "Kenneth E. {Kinnear, Jr.}",
• title = "Alternatives in Automatic Function Definition: A Comparison Of Performance",
• booktitle = "Advances in Genetic Programming",
• publisher = "MIT Press",
• editor = "Kenneth E. {Kinnear, Jr.}",
• year = "1994",
• pages = "119--141",
• chapter = "6",
• keywords = "genetic algorithms, genetic programming, Hoist (shrink) mutation, ADF, MA, GLib",
• institution = "Adaptive Computing Technology",
• URL = "http://www.amazon.co.uk/Advances-Genetic-Programming-Complex-Adaptive/dp/0262111888",
• URL = "http://cognet.mit.edu/sites/default/files/books/9780262277181/pdfs/9780262277181_chap6.pdf",
• DOI = "doi:10.7551/mitpress/1108.003.0011",
• size = "23 pages",
• 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.",
• size = "22 pages",
• notes = "Part of \cite{kinnear:book}",

}

Genetic Programming entries for Kenneth E Kinnear Jr

Citations