SBArt4 -- Breeding abstract animations in realtime

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

  author =       "Tatsuo Unemi",
  title =        "{SBArt4} -- {Breeding} abstract animations in
  booktitle =    "IEEE Congress on Evolutionary Computation (CEC 2010)",
  year =         "2010",
  address =      "Barcelona, Spain",
  month =        "18-23 " # jul,
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming, GPU",
  isbn13 =       "978-1-4244-6910-9",
  abstract =     "SBART was developed in early 1990's as one of the
                 derivatives from Artificial Evolution by Karl Sims. It
                 has a functionality to create a movie from a bred image
                 through post-processing. The innovation of graphics
                 processing unit (GPU) in these years improved the
                 calculation performance to be fast enough to realize
                 breeding animations in realtime on the personal
                 computer. SBArt4 uses the advantage of GPU by compiling
                 each expression in genotype into a type of OpenGL
                 shading language. Even when it renders each frame of
                 the animation in realtime, it achieves enough speed for
                 users to evaluate the product of an abstract animation
                 immediately. Though there were a number of problems
                 because of architectural difference between CPU and
                 GPU, almost compatible functionalities with the
                 previous version have been implemented including
                 reference to an external image and integer-based
                 bitwise operation. Through experimental executions on
                 some different hardware configurations, it was
                 certified that it runs fast enough on recent consumer
                 machines though some older machines are not powerful
  DOI =          "doi:10.1109/CEC.2010.5586293",
  notes =        "WCCI 2010. Also known as \cite{5586293}",

Genetic Programming entries for Tatsuo Unemi