1. Abadi, M., et al.: TensorFlow: large-scale machine learning on heterogeneous systems (2015). http://tensorflow.org/, software available from tensorflow.org
2. Awad, N., Mallik, N., Hutter, F.: Differential evolution for neural architecture search. arXiv preprint arXiv:2012.06400 (2020)
3. Baker, B., Gupta, O., Naik, N., Raskar, R.: Designing neural network architectures using reinforcement learning. arXiv preprint arXiv:1611.02167 (2016)
4. Cardoso, M.C., Silva, M., Vellasco, M.M., Cataldo, E.: Quantum-inspired features and parameter optimization of spiking neural networks for a case study from atmospheric. Procedia Comput. Sci. 53, 74–81 (2015)
5. da Cruz, A.V.A., Vellasco, M.M., Pacheco, M.A.C.: Quantum-inspired evolutionary algorithms applied to numerical optimization problems. In: IEEE Congress on Evolutionary Computation, pp. 1–6. IEEE (2010)