- 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 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, GPU, Graphics Card Acceleration, Parallel Evaluation",
- ISBN = "3-540-71602-5",
- isbn13 = "978-3-540-71602-0",
-
URL = "
http://citeseer.ist.psu.edu/viewdoc/citations;jsessionid=7CB4F09F82CEB4C8933E1E15E8EF3632?doi=10.1.1.93.1862",
-
URL = "
http://www.cs.mun.ca/~banzhaf/papers/eurogp07.pdf",
-
URL = "https://rdcu.be/dfEPJ",
-
DOI = "
doi:10.1007/978-3-540-71605-1_9",
- size = "12 pages",
- 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",
