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Evolutionary Computing on Consumer-Level Graphics Hardware

Ka-Ling Fok, Tien-TsinWong, Man-Leung Wong
The Chinese University of Hong Kong
IEEE Intelligent Systems, Volume 22, Issue 2, p.69-78

@article{fok2007evolutionary,

   title={Evolutionary computing on consumer graphics hardware},

   author={Fok, K.L. and Wong, T.T. and Wong, M.L.},

   journal={Intelligent Systems, IEEE},

   volume={22},

   number={2},

   pages={69–78},

   issn={1541-1672},

   year={2007},

   publisher={IEEE}

}

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We propose implementing a parallel EA on consumer graphics cards, which we can find in many PCs. This lets more people use our parallel algorithm to solve large-scale, real-world problems such as data mining. Parallel evolutionary algorithms run on consumer-grade graphics hardware achieve better execution times than ordinary evolutionary algorithms and offer greater accessibility than those run on high-performance computers
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