Pre-, In- and Postfix grammars for Symbolic Regression in Grammatical Evolution
Created by W.Langdon from
gp-bibliography.bib Revision:1.8028
- @InProceedings{Hemberg:2008:ECSummerSchool,
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author = "Erik Hemberg and Nic McPhee and Michael O'Neill and
Anthony Brabazon",
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title = "Pre-, In- and Postfix grammars for Symbolic Regression
in Grammatical Evolution",
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booktitle = "IEEE Workshop and Summer School on Evolutionary
Computing",
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year = "2008",
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editor = "T. M. McGinnity",
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pages = "18--22",
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address = "University of Ulster, Derry, Northern Ireland",
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month = "18-22 " # aug,
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keywords = "genetic algorithms, genetic programming, Grammatical
Evolution",
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URL = "http://ncra.ucd.ie/papers/HembergMcPhee_etal.pdf",
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size = "4 pages",
-
abstract = "Recent research has indicated that grammar design is
an important consideration when using grammar-based
Genetic Programming, particularly with respect to
unintended biases that may arise through rule ordering
or duplication. In this study we examine how the
ordering of the elements during mapping can impact
performance. Here we use to the standard GE depth-first
mapper and compare the performance of postfix, prefix
and infix grammars on a selection of symbolic
regression problem instances. We show that postfix can
confer a performance advantage on the harder problems
examined",
-
notes = "broken 2016
http://isel.infm.ulst.ac.uk/conference/wssec2008/wssec08.htm",
- }
Genetic Programming entries for
Erik Hemberg
Nicholas Freitag McPhee
Michael O'Neill
Anthony Brabazon
Citations