Hardware Acceleration for CGP: Graphics Processing Units

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

  author =       "Simon L. Harding and Wolfgang Banzhaf",
  title =        "Hardware Acceleration for CGP: Graphics Processing
  booktitle =    "Cartesian Genetic Programming",
  publisher =    "Springer",
  editor =       "Julian F. Miller",
  year =         "2011",
  series =       "Natural Computing Series",
  chapter =      "8",
  pages =        "231--253",
  keywords =     "genetic algorithms, genetic programming, Cartesian
                 Genetic Programming, GPU",
  isbn13 =       "978-3-642-17309-7",
  URL =          "http://www.springer.com/computer/theoretical+computer+science/book/978-3-642-17309-7",
  URL =          "http://www.cs.mun.ca/~banzhaf/papers/GPUCGP_book2011.pdf",
  DOI =          "doi:10.1007/978-3-642-17310-3_8",
  abstract =     "As with other forms of genetic programming, evaluation
                 of the fitness function in CGP is a major bottleneck.
                 Recently there has been a lot of interest in exploiting
                 the parallel processing capabilities of the Graphics
                 Processing Units that are found on modern graphics
                 cards. Using these processors it is possible to greatly
                 accelerate evaluation of CGP individuals.",
  notes =        "part of \cite{Miller:CGP}",

Genetic Programming entries for Simon Harding Wolfgang Banzhaf