Speeding up Genetic Programming Based Symbolic Regression Using GPUs

Author:

Zhang Rui,Lensen Andrew,Sun Yanan

Publisher

Springer Nature Switzerland

Reference35 articles.

1. Abadi, M., Agarwal, A., Barham, P., et al.: TensorFlow: large-scale machine learning on heterogeneous distributed systems (2016)

2. Agrawal, A., Modi, A.N., Passos, A., et al.: TensorFlow eager: a multi-stage, python-embedded DSL for machine learning. CoRR abs/1903.01855 (2019)

3. Awange, J.L., Paláncz, B.: Symbolic Regression, pp. 203–216. Springer International Publishing, Cham (2016)

4. Baeta, F., Correia, J.A., Martins, T., et al.: Speed benchmarking of genetic programming frameworks. In: Proceedings of the Genetic and Evolutionary Computation Conference, pp. 768–775. GECCO 2021. Association for Computing Machinery, New York, NY, USA (2021)

5. Lecture Notes in Computer Science;F Baeta,2021

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