Deep Optimisation: Multi-scale Evolution by Inducing and Searching in Deep Representations

Author:

Caldwell JamieORCID,Knowles Joshua,Thies Christoph,Kubacki Filip,Watson Richard

Publisher

Springer International Publishing

Reference28 articles.

1. Bello, I., Pham, H., Le, Q.V., Norouzi, M., Bengio, S.: Neural combinatorial optimization with reinforcement learning. arXiv preprint arXiv:1611.09940 (2016)

2. Boyan, J., Moore, A.W.: Learning evaluation functions to improve optimization by local search. J. Mach. Learn. Res. 1(Nov), 77–112 (2000)

3. Caldwell, J., Watson, R.A., Thies, C., Knowles, J.D.: Deep optimisation: Solving combinatorial optimisation problems using deep neural networks. arXiv preprint arXiv:1811.00784 (2018)

4. Chu, P.C., Beasley, J.E.: A genetic algorithm for the multidimensional knapsack problem. J. Heuristics 4(1), 63–86 (1998)

5. Churchill, A.W., Sigtia, S., Fernando, C.: A denoising autoencoder that guides stochastic search. arXiv preprint arXiv:1404.1614 (2014)

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