Evolution and Growth of Virtual Plants

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

@InProceedings{Ebner:2003:ECAL,
  author =       "Marc Ebner",
  title =        "Evolution and Growth of Virtual Plants",
  booktitle =    "Advances in Artificial Life. 7th European Conference
                 on Artificial Life",
  year =         "2003",
  editor =       "Wolfgang Banzhaf and Thomas Christaller and 
                 Peter Dittrich and Jan T. Kim and Jens Ziegler",
  volume =       "2801",
  series =       "Lecture Notes in Artificial Intelligence",
  pages =        "228--237",
  address =      "Dortmund, Germany",
  month =        "14-17 " # sep,
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, virtual
                 plants, L-systems, co-evolution",
  ISBN =         "3-540-20057-6",
  DOI =          "DOI:10.1007/b12035",
  abstract =     "According to the Red Queen hypothesis, an evolving
                 population may be improving some trait, even though its
                 fitness remains constant. We have created such a
                 scenario with a population of coevolving plants. Plants
                 are modelled using Lindenmayer systems and rendered
                 with OpenGL. The plants consist of branches and leaves.
                 Their reproductive success depends on their ability to
                 catch sunlight as well as their structural complexity.
                 All plants are evaluated inside the same environment,
                 which means that one plant is able to cover other
                 plants leaves. Leaves which are placed in the shadow of
                 other plants do not catch any sunlight. The shape of
                 the plant also determines the area where offspring can
                 be placed. Offspring can only be placed in the vicinity
                 of a plant. A number of experiments were performed in
                 different environments. The Red Queen effect was seen
                 in all cases.",
  notes =        "ECAL-2003",
}

Genetic Programming entries for Marc Ebner

Citations