Fast genetic programming on GPUs

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

  author =       "Simon Harding and Wolfgang Banzhaf",
  title =        "Fast genetic programming on GPUs",
  editor =       "Marc Ebner and Michael O'Neill and Anik\'o Ek\'art and 
                 Leonardo Vanneschi and Anna Isabel Esparcia-Alc\'azar",
  booktitle =    "Proceedings of the 10th European Conference on Genetic
  publisher =    "Springer",
  series =       "Lecture Notes in Computer Science",
  volume =       "4445",
  year =         "2007",
  address =      "Valencia, Spain",
  month =        "11-13 " # apr,
  pages =        "90--101",
  keywords =     "genetic algorithms, genetic programming, Cartesian
                 genetic programming, GPU",
  ISBN =         "3-540-71602-5",
  isbn13 =       "978-3-540-71602-0",
  DOI =          "doi:10.1007/978-3-540-71605-1_9",
  abstract =     "As is typical in evolutionary algorithms, fitness
                 evaluation in GP takes the majority of the
                 computational effort. In this paper we demonstrate the
                 use of the Graphics Processing Unit (GPU) to accelerate
                 the evaluation of individuals. We show that for both
                 binary and floating point based data types, it is
                 possible to get speed increases of several hundred
                 times over a typical CPU implementation. This allows
                 for evaluation of many thousands of fitness cases, and
                 hence should enable more ambitious solutions to be
                 evolved using GP.",
  notes =        "NVidia GForce 7300 Go. p95 'GP interpreter', microsoft
                 .NET C# visual studio, windowsXP 'The Accelerator tool
                 kit compiles each individuals GP expression into a
                 shader program.' floating point x^6-2x^4+x^2, C#
                 boolean type. Two spirals. Nuclear proteins

                 Part of \cite{ebner:2007:GP} EuroGP'2007 held in
                 conjunction with EvoCOP2007, EvoBIO2007 and

Genetic Programming entries for Simon Harding Wolfgang Banzhaf