Geometric Semantic Grammatical Evolution
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gp-bibliography.bib Revision:1.8098
- @InProceedings{Moraglio:2014:SMGP,
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author = "Alberto Moraglio and James McDermott and
Michael O'Neill",
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title = "Geometric Semantic Grammatical Evolution",
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booktitle = "Semantic Methods in Genetic Programming",
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year = "2014",
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editor = "Colin Johnson and Krzysztof Krawiec and
Alberto Moraglio and Michael O'Neill",
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address = "Ljubljana, Slovenia",
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month = "13 " # sep,
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note = "Workshop at Parallel Problem Solving from Nature 2014
conference",
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keywords = "genetic algorithms, genetic programming, Grammatical
Evolution",
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URL = "http://www.cs.put.poznan.pl/kkrawiec/smgp2014/uploads/Site/Moraglio.pdf",
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size = "2 pages",
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abstract = "Geometric Semantic Genetic Programming (GSGP) is a
novel form of Genetic Programming (GP) based on a
geometric theory of evolutionary algorithms that
searches directly the semantic space of programs. We
show how to extend this framework to Grammatical
Evolution (GE). We refer to the new method as Geometric
Semantic Grammatical Evolution (GSGE).",
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notes = "SMGP 2014
http://www.cs.put.poznan.pl/kkrawiec/smgp/?n=Site.SMGP2014",
- }
Genetic Programming entries for
Alberto Moraglio
James McDermott
Michael O'Neill
Citations