Self-tuning Geometric Semantic GP
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Castelli:2014:SMGP2,
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author = "Mauro Castelli and Luca Manzoni and Sara Silva and
Leonardo Vanneschi",
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title = "Self-tuning Geometric Semantic GP",
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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",
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URL = "http://www.cs.put.poznan.pl/kkrawiec/smgp2014/uploads/Site/Castelli2.pdf",
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size = "2 pages",
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abstract = "In Geometric Semantic GP (GSGP), similarly to normal
GP, parameter tuning is necessary to attain good
performances. Here we introduce a method for
self-tuning GSGP that not only saves the user the
tuning task, but it also outperforms traditional
hand-tuned GSGP.",
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notes = "SMGP 2014
http://www.cs.put.poznan.pl/kkrawiec/smgp/?n=Site.SMGP2014",
- }
Genetic Programming entries for
Mauro Castelli
Luca Manzoni
Sara Silva
Leonardo Vanneschi
Citations