Cartesian Genetic Programming on the GPU

Author:

Harding Simon,Miller Julian F.

Publisher

Springer Berlin Heidelberg

Reference27 articles.

1. Chitty, D.M.: A data parallel approach to genetic programming using programmable graphics hardware. In: Thierens, D., Beyer, H.G., et al. (eds.) GECCO ’07: Proceedings of the 9th Annual Conference on Genetic and Evolutionary Computation, vol. 2, pp. 1566–1573. ACM Press, London (2007)

2. Coates, P.: Using Genetic Programming and L-systems to explore 3D design worlds. In: CAADFutures’97. Kluwer Academic, Dordecht (2008)

3. Elkan, C.: Results of the KDD’99 classifier learning contest. http://cseweb.ucsd.edu/~elkan/clresults.html (1999)

4. Harding, S.: Evolution of image filters on graphics processor units using Cartesian genetic programming. In: Wang, J. (ed.) 2008 IEEE World Congress on Computational Intelligence. IEEE Computational Intelligence Society, IEEE Press, Hong Kong. http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4631051 (2008)

5. Harding, S., Banzhaf, W.: Fast genetic programming on GPUs. In: Ebner, M., O’Neill, M., Ekárt, A., Vanneschi, L., Esparcia-Alcázar, A.I. (eds.) Proceedings of the 10th European Conference on Genetic Programming. Lecture Notes in Computer Science, vol. 4445, pp. 90–101. Springer, Valencia (2007). doi:10.1007/978-3-540-71605-1_9. http://www.springerlink.com/index/w57468k30j124410.pdf

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