Animated drawings rendered by genetic programming

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

@InProceedings{DBLP:conf/gecco/BarileCBT09,
  author =       "Perry Barile and Victor Ciesielski and 
                 Marsha Berry and Karen Trist",
  title =        "Animated drawings rendered by genetic programming",
  booktitle =    "GECCO '09: Proceedings of the 11th Annual conference
                 on Genetic and evolutionary computation",
  year =         "2009",
  editor =       "Guenther Raidl and Franz Rothlauf and 
                 Giovanni Squillero and Rolf Drechsler and Thomas Stuetzle and 
                 Mauro Birattari and Clare Bates Congdon and 
                 Martin Middendorf and Christian Blum and Carlos Cotta and 
                 Peter Bosman and Joern Grahl and Joshua Knowles and 
                 David Corne and Hans-Georg Beyer and Ken Stanley and 
                 Julian F. Miller and Jano {van Hemert} and 
                 Tom Lenaerts and Marc Ebner and Jaume Bacardit and 
                 Michael O'Neill and Massimiliano {Di Penta} and Benjamin Doerr and 
                 Thomas Jansen and Riccardo Poli and Enrique Alba",
  pages =        "939--946",
  address =      "Montreal",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  month =        "8-12 " # jul,
  organisation = "SigEvo",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-1-60558-325-9",
  bibsource =    "DBLP, http://dblp.uni-trier.de",
  DOI =          "doi:10.1145/1569901.1570030",
  abstract =     "We describe an approach to generating animations of
                 drawings that start as a random collection of strokes
                 and gradually resolve into a recognizable subject. The
                 strokes are represented as tree based genetic programs.
                 An animation is generated by rendering the best
                 individual in a generation as a frame of a movie. The
                 resulting animations have an engaging characteristic in
                 which the target slowly emerges from a random set of
                 strokes. We have generated two qualitatively different
                 kinds of animations, ones that use grey level straight
                 line strokes and ones that use binary Bezier curve
                 stokes. Around 100,000 generations are needed to
                 generate engaging animations. Population sizes of 2 and
                 4 give the best convergence behaviour. Convergence can
                 be accelerated by using information from the target in
                 drawing a stroke. Our approach provides a large range
                 of creative opportunities for artists. Artists have
                 control over choice of target and the various stroke
                 parameters.",
  notes =        "GECCO-2009 A joint meeting of the eighteenth
                 international conference on genetic algorithms
                 (ICGA-2009) and the fourteenth annual genetic
                 programming conference (GP-2009).

                 ACM Order Number 910092.",
}

Genetic Programming entries for Pasquale G Barile Victor Ciesielski Marsha Berry Karen Trist

Citations