EASEA parallelization of tree-based Genetic Programming
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}
}
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.
January 22, 2011 by hgpu
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