Search Strategies for Grammatical Optimization Problems - Alternatives to Grammar-Guided Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @InCollection{series/sci/KronbergerK15,
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author = "Gabriel Kronberger and Michael Kommenda",
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title = "Search Strategies for Grammatical Optimization
Problems - Alternatives to Grammar-Guided Genetic
Programming",
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bibdate = "2015-06-29",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/series/sci/sci595.html#KronbergerK15",
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booktitle = "Computational Intelligence and Efficiency in
Engineering Systems",
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publisher = "Springer",
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year = "2015",
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volume = "595",
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editor = "Grzegorz Borowik and Zenon Chaczko and
Witold Jacak and Tadeusz Luba",
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isbn13 = "978-3-319-15719-1",
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pages = "89--102",
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series = "Studies in Computational Intelligence",
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keywords = "genetic algorithms, genetic programming",
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URL = "http://dx.doi.org/10.1007/978-3-319-15720-7",
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DOI = "doi:10.1007/978-3-319-15720-7_7",
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abstract = "In this chapter, we have a closer look at search
strategies for optimization problems, where the
structure of valid solutions is defined through a
formal grammar. These problems frequently occur in the
genetic programming (GP) literature, especially in the
context of grammar-guided genetic programming [18].
Even though a lot of progress has been made to extend
and improve GP in the last 25 years and many impressive
solutions have been produced by GP, the initial goal of
an automated programming machine for generating
computer programs is still far away and GP is not yet
established as a reliable and general method for
solving grammatical optimization problems. Instead,
many different GP variants have been described and used
for solving specific problems. Today the term GP refers
to a large set of related algorithms where the
commonality mainly is that an evolutionary algorithm is
used to produce solutions which often (but not always)
represent code that can be executed by a problem
specific...",
- }
Genetic Programming entries for
Gabriel Kronberger
Michael Kommenda
Citations