Evolutionary Design of Objects Using Scene Graphs

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Marc Ebner",
  title =        "Evolutionary Design of Objects Using Scene Graphs",
  booktitle =    "Genetic Programming, Proceedings of EuroGP'2003",
  year =         "2003",
  editor =       "Conor Ryan and Terence Soule and Maarten Keijzer and 
                 Edward Tsang and Riccardo Poli and Ernesto Costa",
  volume =       "2610",
  series =       "LNCS",
  pages =        "47--58",
  address =      "Essex",
  publisher_address = "Berlin",
  month =        "14-16 " # apr,
  organisation = "EvoNet",
  publisher =    "Springer-Verlag",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-540-00971-X",
  URL =          "http://www.springerlink.com/openurl.asp?genre=article&issn=0302-9743&volume=2610&spage=47",
  DOI =          "doi:10.1007/3-540-36599-0_5",
  abstract =     "One of the main issues in evolutionary design is how
                 to create three-dimensional shape. The representation
                 needs to be general enough such that all possible
                 shapes can be created, yet it has to be evolvable. That
                 is, parent and offspring must be related. Small changes
                 to the genotype should lead to small changes of the
                 fitness of an individual. We have explored the use of
                 scene graphs to evolve three-dimensional shapes. Two
                 different scene graph representations are analyzed, the
                 scene graph representation used by OpenInventor and the
                 scene graph representation used by VRML. Both
                 representations use internal floating point variables
                 to specify three-dimensional vectors, rotation axes and
                 rotation angles. The internal parameters are initially
                 chosen at random, then remain fixed during the run. We
                 also experimented with an evolution strategy to adapt
                 the internal variables. Experimental results are
                 presented for the evolution of a wind turbine. The VRML
                 representation produced better results.",
  notes =        "EuroGP'2003 held in conjunction with EvoWorkshops


Genetic Programming entries for Marc Ebner