Geometric Semantic Grammatical Evolution

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@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",
}

Genetic Programming entries for Alberto Moraglio James McDermott Michael O'Neill

Citations