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EASEA parallelization of tree-based Genetic Programming

Ogier Maitre, S. Querry, Nicolas Lachiche and Pierre Collet
Image Sci., Comput. Sci. & Remote Sensing Lab., Univ. of Strasbourg, Illkirch, France
IEEE Congress on Evolutionary Computation (CEC), 2010

@conference{maitre2010easea,

   title={EASEA parallelization of tree-based Genetic Programming},

   author={Maitre, O. and Querry, S. and Lachiche, N. and Collet, P.},

   booktitle={Evolutionary Computation (CEC), 2010 IEEE Congress on},

   pages={1–8},

   organization={IEEE}

}

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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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