Publisher
Springer Nature Switzerland
Reference17 articles.
1. Subbotin, S.O., Oliinyk, A.O., Oliinyk, O.O.: Non-iterative, evolutionary and multi-agent methods for synthesis of fuzzy and neural network models. ZNTU, Zaporizhzhia (2009). (in Ukrainian)
2. Stanley, K.O., Clune, J., Lehman, J., Miikkulainen, R.: Designing neural networks through neuroevolution. Nat. Mach. Intell. 1, 24–35 (2019). https://doi.org/10.1038/s42256-018-0006-z
3. Stanley, K.O.: Neuroevolution: a different kind of deep learning. https://www.oreilly.com/radar/neuroevolution-a-different-kind-of-deep-learning. Accessed 05 May 2023
4. Doroshenko, A.Y., Achour, I.Z., Yatsenko, O.A.: Parameter-driven generation of evaluation program for a neuroevolution algorithm on a binary multiplexer example. Radio Electron. Comput. Sci. Control (1), 80–88 (2023). https://doi.org/10.15588/1607-3274-2023-1-8
5. Stanley, K.O., Miikkulainen, R.: Evolving neural networks through augmenting topologies. Evol. Comput. 10(2), 99–127 (2002). https://doi.org/10.1162/106365602320169811