Limited Evaluation Evolutionary Optimization of Large Neural Networks
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Springer International Publishing
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http://link.springer.com/content/pdf/10.1007/978-3-030-00111-7_23
Reference16 articles.
1. Lecture Notes in Computer Science;M Baioletti,2018
2. Beyer, H.: Evolutionary algorithms in noisy environments: theoretical issues and guidelines for practice. In: Computer Methods in Applied Mechanics and Engineering, pp. 239–267 (1998)
3. Das, S., Mullick, S.S., Suganthan, P.: Recent advances in differential evolution: an updated survey. Swarm Evol. Comput. 27(Complete), 1–30 (2016). https://doi.org/10.1016/j.swevo.2016.01.004
4. Desell, T.: Large scale evolution of convolutional neural networks using volunteer computing. In: Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO 2017), pp. 127–128. ACM, New York (2017). https://doi.org/10.1145/3067695.3076002
5. Floreano, D., Dürr, P., Mattiussi, C.: Neuroevolution: from architectures to learning. Evol. Intell. 1(1), 47–62 (2008). https://doi.org/10.1007/s12065-007-0002-4
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