Geometric Semantic Grammatical Evolution

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

@InProceedings{Moraglio:2014:SMGP,

• author = "Alberto Moraglio and James McDermott and Michael O'Neill",
• title = "Geometric Semantic Grammatical Evolution",
• 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, Grammatical Evolution",
• URL = "http://www.cs.put.poznan.pl/kkrawiec/smgp2014/uploads/Site/Moraglio.pdf",
• size = "2 pages",
• 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).",
• 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