Grammatical Evolution: A Steady State approach
Created by W.Langdon from
gp-bibliography.bib Revision:1.5776
- @InProceedings{ryan:1998:GEssa,
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author = "Conor Ryan and Michael O'Neill",
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title = "Grammatical Evolution: A Steady State approach",
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booktitle = "Late Breaking Papers at the Genetic Programming 1998
Conference",
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year = "1998",
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editor = "John R. Koza",
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pages = "180--185",
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address = "University of Wisconsin, Madison, Wisconsin, USA",
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publisher_address = "Stanford, CA, USA",
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month = "22-25 " # jul,
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publisher = "Stanford University Bookstore",
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keywords = "genetic algorithms, genetic programming, grammatical
evolution",
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URL = "
http://citeseer.ist.psu.edu/cache/papers/cs/12751/http:zSzzSzscare.csis.ul.iezSzmichaelzSzpaperszSzgp98.pdf/ryan98grammatical.pdf",
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URL = "
http://citeseer.ist.psu.edu/260828.html",
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URL = "
http://www.grammatical-evolution.org/papers/gp98/index.html",
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size = "6 pages",
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abstract = "We describe a Genetic Algorithm that can evolve
complete programs. Using a variable length linear
genome to govern the mapping of a Backus Naur Form
grammar definition to a program, expressions and
programs of arbitrary complexity may be evolved. Our
system, Grammatical Evolution, has been applied to
problems such as a Symbolic Regression problem, and
finding Trigonometric Identities.
In this paper we describe how we applied GE to a
Symbolic Integration problem, that being finding a
function which is an integral of Cos(X)+2X+1. We also
show how a Steady State selection mechanism was found
to improve the performance of Grammatical Evolution.",
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notes = "GP-98LB",
- }
Genetic Programming entries for
Conor Ryan
Michael O'Neill
Citations