Using FPGA Devices to Accelerate Tree-Based Genetic Programming: A Preliminary Exploration with Recent Technologies
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Springer Nature Switzerland
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https://link.springer.com/content/pdf/10.1007/978-3-031-29573-7_12
Reference28 articles.
1. Baeta, F., Correia, J., Martins, T., Machado, P.: Exploring genetic programming in TensorFlow with TensorGP. SN Comput. Sci. 3(2), 1–16 (2022). https://doi.org/10.1007/s42979-021-01006-8
2. Genetic and Evolutionary Computation;W Banzhaf,2009
3. Burlacu, B., Kronberger, G., Kommenda, M.: Operon C++: an efficient genetic programming framework for symbolic regression. In: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, GECCO 2020, pp. 1562–1570. Association for Computing Machinery, New York (2020). https://doi.org/10.1145/3377929.3398099
4. Chitty, D.M.: Fast parallel genetic programming: multi-core CPU versus many-core GPU. Soft. Comput. 16(10), 1795–1814 (2012). https://doi.org/10.1007/s00500-012-0862-0
5. Chitty, D.M.: Faster GPU-based genetic programming using a two-dimensional stack. Soft. Comput. 21(14), 3859–3878 (2016). https://doi.org/10.1007/s00500-016-2034-0
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