Genetic programming on GPGPU cards using EASEA

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Abstract

Genetic programming is one of the most powerful evolutionary paradigms because it allows us to optimize not only the parameter space but also the structure of a solution. The search space explored by genetic programming is therefore huge and necessitates a very large computing power which is exactly what GPGPUs can provide. This chapter will show how Koza-like tree-based genetic programming can be efficiently ported onto GPGPU processors.

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APA

Maitre, O. (2013). Genetic programming on GPGPU cards using EASEA. In Natural Computing Series (Vol. 46, pp. 227–248). Springer Verlag. https://doi.org/10.1007/978-3-642-37959-8_11

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