EASEA Parallelization of Tree-Based Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{Maitre:2010:cec,
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author = "Ogier Maitre and Stephane Querry and
Nicolas Lachiche and Pierre Collet",
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title = "EASEA Parallelization of Tree-Based Genetic
Programming",
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booktitle = "2010 IEEE World Congress on Computational
Intelligence",
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year = "2010",
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editor = "Pilar Sobrevilla",
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pages = "1997--2004",
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address = "Barcelona",
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month = "18-23 " # jul,
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organisation = "IEEE Computational Intelligence Society",
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publisher = "IEEE",
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keywords = "genetic algorithms, genetic programming, GPU",
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isbn13 = "978-1-4244-6910-9",
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DOI = "doi:10.1109/CEC.2010.5586258",
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size = "8 pages",
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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.",
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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}",
- }
Genetic Programming entries for
Ogier Maitre
Stephane Querry
Nicolas Lachiche
Pierre Collet
Citations