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Two Ports of a Full Evolutionary Algorithm onto GPGPU

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Artificial Evolution (EA 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7401))

Abstract

This paper presents two parallelizations of a standard evolutionary algorithm on an NVIDIA GPGPU card, thanks to a parallel replacement operator.

These algorithms tackle new problems where previously presented approaches do not obtain satisfactory speedup. If programming is more complicated and fewer options are allowed, the whole algorithm is executed in parallel, thereby fully exploiting the intrinsic parallelism of EAs and the many available GPGPU cores.

Finally, the method is validated using two benchmarks.

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Maitre, O., Lachiche, N., Collet, P. (2012). Two Ports of a Full Evolutionary Algorithm onto GPGPU. In: Hao, JK., Legrand, P., Collet, P., Monmarché, N., Lutton, E., Schoenauer, M. (eds) Artificial Evolution. EA 2011. Lecture Notes in Computer Science, vol 7401. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35533-2_9

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  • DOI: https://doi.org/10.1007/978-3-642-35533-2_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35532-5

  • Online ISBN: 978-3-642-35533-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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