Hybrid gradient simulated annealing algorithm for finding the global optimal of a nonlinear unconstrained optimization problem
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-020-05303-x.pdf
Reference43 articles.
1. Ali MM, Gabere M (2010) A simulated annealing driven multi-start algorithm for bound constrained global optimization. J Comput Appl Math 233(10):2661–2674
2. Ali MM, Khompatraporn C, Zabinsky ZB (2005) A numerical evaluation of several stochastic algorithms on selected continuous global optimization test problems. J Glob Optim 31:635–672
3. Armijo L (1966) Minimization of functions having Lipschitz continuous first-partial derivatives. Pac J Math 16(1):187–192
4. Ayumi V, Rere L, Fanany MI, Arymurthy AM (2016) Optimization of convolutional neural network using microcanonical annealing algorithm. arXiv preprint arXiv:1610.02306
5. Bertsekas DP (1999) Nonlinear programming. Athena Scientific, Belmont
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