1. Andrychowicz M, Denil M, Gomez S, et al. Learning to learn by gradient descent by gradient descent. In: Advances in Neural Information Processing Systems, vol. 29. La Jolla: NIPS, 2016, 3981–3989
2. Bello I, Pham H, Le Q V, et al. Neural combinatorial optimization with reinforcement learning. arXiv:1611.09940, 2016
3. Chen Y T, Hoffman M W, Colmenarejo S G, et al. Learning to learn without gradient descent by gradient descent. In: International Conference on Machine Learning, vol. 70. San Diego: JMLR, 2017, 748–756
4. Da Silva E K, Barbosa H J C, Lemonge A C C. An adaptive constraint handling technique for differential evolution with dynamic use of variants in engineering optimization. Optim Eng, 2011, 12: 31–54
5. Dai H, Zhang Y, Dilkina B, et al. Learning combinatorial optimization algorithms over graphs. In: Advances in Neural Information Processing Systems, vol. 30. La Jolla: NIPS, 2017, 6348–6358