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Questions tagged [simulated-annealing]

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Training Neural Network with Simulated Annealing

I am trying to train a simple neural network with simulated annealing. I have programmed a neural network with an input layer of 784 input nodes (28 x 28 pixels, I am using the MNIST database to train)...
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antagonistic simulated annealing

Simulated annealing aims at a series of target distributions $$\pi_T(x)\propto\exp\{T\,H(x)\}$$ to find the maximum of the function $H$ and its argument $$\arg_x\max_{x\in \mathfrak X} H(x)$$ if the ...
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Simulated Annealing vs SGD with (warm) Restarts

What's the difference between simulated annealing and stochastic gradient descent with restarts? They both seem like they are occasionally going backwards at a decreasing rate. Also what is the ...
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Simulated Annealing Parameter Tuning

My question concerns parameter tuning for simulated annealing (SA). I've the following toy equation $$ y = (x^2+x) \times cos(2x) + 20 \text{ if } x \in (-10, 10) $$ My problem is that the solution ...
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How can I find the bounds that gets Simulated Annealing to converge?

According to Wikipedia on Simulated Annealing, For any given finite problem, the probability that the simulated annealing algorithm terminates with a global optimal solution approaches 1 as the ...