Analysis of a Digit Concatenation Approach to Constant Creation
Created by W.Langdon from
gp-bibliography.bib Revision:1.8229
- @InProceedings{oneill03,
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author = "Michael O'Neill and Ian Dempsey and
Anthony Brabazon and Conor Ryan",
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title = "Analysis of a Digit Concatenation Approach to Constant
Creation",
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booktitle = "Genetic Programming, Proceedings of EuroGP'2003",
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year = "2003",
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editor = "Conor Ryan and Terence Soule and Maarten Keijzer and
Edward Tsang and Riccardo Poli and Ernesto Costa",
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volume = "2610",
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series = "LNCS",
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pages = "173--182",
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address = "Essex",
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publisher_address = "Berlin",
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month = "14-16 " # apr,
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organisation = "EvoNet",
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publisher = "Springer-Verlag",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "3-540-00971-X",
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DOI = "
doi:10.1007/3-540-36599-0_16",
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abstract = "This study examines the usefulness of employing digit
concatenation, as distinct from the traditional
expression based approach, for the purpose of evolving
constants in Grammatical Evolution. Digit concatenation
involves creating constants (either whole or real
numbers) by concatenating digits to form a single
value. The two methods are compared using three
different problems, which are finding a static real
constant, finding dynamic real constants, and a
quadratic map, which on iteration generates a chaotic
time-series. The results indicate that the digit
concatenation approach results in a significant
improvement in the best fitness obtained across all
problems analysed here.",
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notes = "EuroGP'2003 held in conjunction with EvoWorkshops
2003",
- }
Genetic Programming entries for
Michael O'Neill
Ian Dempsey
Anthony Brabazon
Conor Ryan
Citations