- author = "Ogier Maitre and Stephane Querry and Nicolas Lachiche and Pierre Collet",
- title = "EASEA Parallelization of Tree-Based Genetic Programming",
- booktitle = "2010 IEEE World Congress on Computational Intelligence",
- year = "2010",
- editor = "Pilar Sobrevilla",
- pages = "1997--2004",
- address = "Barcelona",
- month = "18-23 " # jul,
- organisation = "IEEE Computational Intelligence Society",
- publisher = "IEEE",
- keywords = "genetic algorithms, genetic programming, GPU",
- isbn13 = "978-1-4244-6910-9",
-
DOI = "
10.1109/CEC.2010.5586258",
- size = "8 pages",
-
abstract = "This paper introduces the implementation of Koza-style
tree-based Genetic Programming on General Purpose
Graphic Processing Units (GPGPU) using the EASEA
language, and shows how a GP algorithm can be easily
implemented using EASEA and CUDA.
Performance is first discussed on a classical toy problem taken from one of Koza's books and then on a real world problem inspired from aeronautics, that extends the results to difficult problems with large data sets.",
-
notes = "tree GP. nVidia 295 GTX CUDA 2.3 Trigonometric
regression (RMS error fitness disabled) cos(2x)
Population 128 to 65536. TGPNode. Lyshevski F3A
radio-controlled aerobatic aircraft model competitions.
4 control dimensions quaternion. Population 40960, 100
generations, 51000 training values GP operation per
second not given.
WCCI 2010 - A joint meeting of the IEEE, the INNS, the EPS and the IET. Also known as \cite{5586258}",
