Self-tuning Geometric Semantic GP

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Castelli:2014:SMGP2,

• author = "Mauro Castelli and Luca Manzoni and Sara Silva and Leonardo Vanneschi",
• title = "Self-tuning Geometric Semantic GP",
• booktitle = "Semantic Methods in Genetic Programming",
• year = "2014",
• editor = "Colin Johnson and Krzysztof Krawiec and Alberto Moraglio and Michael O'Neill",
• address = "Ljubljana, Slovenia",
• month = "13 " # sep,
• note = "Workshop at Parallel Problem Solving from Nature 2014 conference",
• keywords = "genetic algorithms, genetic programming",
• URL = "http://www.cs.put.poznan.pl/kkrawiec/smgp2014/uploads/Site/Castelli2.pdf",
• size = "2 pages",
• 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.",
• 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