Created by W.Langdon from gp-bibliography.bib Revision:1.2285
@InProceedings{eurogp07:harding,
author = "Simon Harding and Wolfgang Banzhaf",
title = "Fast genetic programming on {GPU}s",
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
Programming",
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",
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
\cite{langdon:2005:CS}
Part of \cite{ebner:2007:GP} EuroGP'2007 held in
conjunction with EvoCOP2007, EvoBIO2007 and
EvoWorkshops2007",
}
Genetic Programming entries for Simon Harding Wolfgang Banzhaf