The Best Things Don't Always Come in Small Packages: Constant Creation in Grammatical Evolution
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @InProceedings{azad:2014:EuroGP,
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author = "R. Muhammad Atif Azad and Conor Ryan",
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title = "The Best Things Don't Always Come in Small Packages:
Constant Creation in Grammatical Evolution",
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booktitle = "17th European Conference on Genetic Programming",
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year = "2014",
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editor = "Miguel Nicolau and Krzysztof Krawiec and
Malcolm I. Heywood and Mauro Castelli and Pablo Garcia-Sanchez and
Juan J. Merelo and Victor M. {Rivas Santos} and
Kevin Sim",
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series = "LNCS",
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volume = "8599",
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publisher = "Springer",
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pages = "186--197",
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address = "Granada, Spain",
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month = "23-25 " # apr,
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organisation = "EvoStar",
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keywords = "genetic algorithms, genetic programming, Grammatical
Evolution :poster",
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isbn13 = "978-3-662-44302-6",
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DOI = "doi:10.1007/978-3-662-44303-3_16",
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abstract = "This paper evaluates the performance of various
methods to constant creation in Grammatical Evolution
(GE), and validates the results against those from
Genetic Programming (GP). Constant creation in GE is an
important issue due to the disruptive nature of ripple
crossover, which can radically remap multiple terminals
in an individual, and we investigate if more compact
methods, which are more similar to the GP style of
constant creation (Ephemeral Random Constants (ERCs),
perform better. The results are surprising. The GE
methods all perform significantly better than GP on
unseen test data, and we demonstrate that the standard
GE approach of digit concatenation does not produce
individuals that are any larger than those from methods
which are designed to use less genetic material.",
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notes = "Part of \cite{Nicolau:2014:GP} EuroGP'2014 held in
conjunction with EvoCOP2014, EvoBIO2014, EvoMusArt2014
and EvoApplications2014",
- }
Genetic Programming entries for
R Muhammad Atif Azad
Conor Ryan
Citations