Geometric Differential Evolution on the Space of Genetic Programs

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{Moraglio:2010:EuroGP,
  author =       "Alberto Moraglio and Sara Silva",
  title =        "Geometric Differential Evolution on the Space of
                 Genetic Programs",
  booktitle =    "Proceedings of the 13th European Conference on Genetic
                 Programming, EuroGP 2010",
  year =         "2010",
  editor =       "Anna Isabel Esparcia-Alcazar and Aniko Ekart and 
                 Sara Silva and Stephen Dignum and A. Sima Uyar",
  volume =       "6021",
  series =       "LNCS",
  pages =        "171--183",
  address =      "Istanbul",
  month =        "7-9 " # apr,
  organisation = "EvoStar",
  publisher =    "Springer",
  note =         "Best paper",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-642-12147-0",
  DOI =          "doi:10.1007/978-3-642-12148-7_15",
  abstract =     "Geometric Differential Evolution (GDE) is a very
                 recently introduced formal generalization of
                 traditional Differential Evolution (DE) that can be
                 used to derive specific GDE for both continuous and
                 combinatorial spaces retaining the same geometric
                 interpretation of the dynamics of the DE search across
                 representations. In this paper, we derive formally a
                 specific GDE for the space of genetic programs. The
                 result is a Differential Evolution algorithm searching
                 the space of genetic programs by acting directly on
                 their tree representation. We present experimental
                 results for the new algorithm.",
  notes =        "Part of \cite{Esparcia-Alcazar:2010:GP} EuroGP'2010
                 held in conjunction with EvoCOP2010 EvoBIO2010 and
                 EvoApplications2010",
}

Genetic Programming entries for Alberto Moraglio Sara Silva

Citations