Evolving 3D Models of Trees Using Genetic Programming

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

  author =       "Guillaume Poncin",
  title =        "Evolving {3D} Models of Trees Using Genetic
  booktitle =    "Genetic Algorithms and Genetic Programming at Stanford
  year =         "2003",
  editor =       "John R. Koza",
  pages =        "153--162",
  address =      "Stanford, California, 94305-3079 USA",
  month =        "4 " # dec,
  publisher =    "Stanford Bookstore",
  keywords =     "genetic algorithms, genetic programming, STGP",
  URL =          "http://www.genetic-programming.org/sp2003/Poncin.pdf",
  size =         "10 pages",
  abstract =     "This paper describes a technique to evolve 3D models
                 of plants based on deterministic automata. It uses
                 cellular encoding to obtain these automata from trees
                 evolved in standard genetic programming software. The
                 fitness is a combination of high-level characteristics
                 of the model, including overall shape, number of
                 branches and geometric characteristics. We introduce a
                 grid-based constraint evaluation as a way for the
                 designer to shape a tree. This approach can be extended
                 to modelling more than plants.",
  notes =        "part of \cite{koza:2003:gagp}

                 not Lindenmayer, gruau's cellular encoding,
                 development, VRML, lilgp",

Genetic Programming entries for Guillaume Poncin