Symbolic Regression by Grammar-based Multi-Gene Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @InProceedings{Zegklitz:2015:GECCOcomp,
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author = "Jan Zegklitz and Petr Posik",
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title = "Symbolic Regression by Grammar-based Multi-Gene
Genetic Programming",
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booktitle = "GECCO'15 Student Workshop",
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year = "2015",
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editor = "Tea Tusar and Boris Naujoks",
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isbn13 = "978-1-4503-3488-4",
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keywords = "genetic algorithms, genetic programming, grammatical
evolution",
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pages = "1217--1220",
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month = "11-15 " # jul,
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organisation = "SIGEVO",
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address = "Madrid, Spain",
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URL = "http://doi.acm.org/10.1145/2739482.2768484",
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DOI = "doi:10.1145/2739482.2768484",
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publisher = "ACM",
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publisher_address = "New York, NY, USA",
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abstract = "Grammatical Evolution is an algorithm of Genetic
Programming but it is capable of evolving programs in
an arbitrary language given by a user-provided
context-free grammar. We present a way how to apply
Multi-Gene idea, known from Multi-Gene Genetic
Programming, to Grammatical Evolution, just by
modifying the given grammar. We also describe
modifications which improve the behaviour of such
algorithm, called Multi-Gene Grammatical Evolution. We
compare the resulting system to GPTIPS, an existing
implementation of MGGP.",
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notes = "Also known as \cite{2768484} Distributed at
GECCO-2015.",
- }
Genetic Programming entries for
Jan Zegklitz
Petr Posik
Citations