Evolutionary Identification of Active Particle Systems

Created by W.Langdon from gp-bibliography.bib Revision:1.4549

  author =       "Bogdan Stanciulescu and Jean Louchet",
  title =        "Evolutionary Identification of Active Particle
  booktitle =    "International Conference in Central Europe on Computer
                 Graphics, Visualization and Interactive Digital Media,
                 WSCG 2000",
  year =         "2000",
  editor =       "Nadia Magnenat Thalmann and Vaclav Skala",
  address =      "Plzen, Czech Republic",
  month =        "7-10 " # feb,
  organisation = "University of West Bohemia",
  keywords =     "genetic algorithms, genetic programming, computer
                 animation, computer graphics, physically based motion
                 modelling, particle-based modelling, evolutionary
                 strategies, motion analysis, neural networks, ANN,
                 neural controllers",
  URL =          "http://wscg.zcu.cz/wscg2000/Papers_2000/T43.ps.gz",
  size =         "8 pages",
  abstract =     "This paper presents how it is possible to introduce
                 active motricity into particle-bond systems used in
                 applications such as image animation. We chose to add
                 into some neural network capabilities over the
                 classical approach, in order to obtain a system able to
                 model a larger class of behaviour. Therefore a new type
                 of binary bond enriched with a neural-based command
                 ability is proposed and tested in this paper. This
                 active bond acts like a controlled muscle in order to
                 produce motricity. An Evolutionary Strategy is used to
                 optimise the particle-bond system parameters through
                 evolving parameter sets. We tested our method both on
                 artificially generated data and on data collected from
                 real-life motion. Results and comparisons between our
                 method and other approaches show the advantage of using
                 active particle-bond systems for image animation
  notes =        "Horse muscles

                 http://wscg.zcu.cz/wscg2000/wscg2000.htm EUROGRAPHICS
                 and IFIP WG 5.10

                 also known as \cite{DBLP:conf/wscg/StanciulescuL00}",

Genetic Programming entries for Bogdan Stanciulescu Jean Louchet