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Our choice was to use a gradient ascent algorithm with momentum and adaptive step sizes; after this gradient algorithm has run for 200 iterations, we use the BFGS algorithm implemented in MATLAB to improve the solution.
The algorithm has been run in an operational test mode since January 2014.
The stopping rule of the algorithm was used, but the algorithm had to run for at least the suggested number of iterations.
Below is an image of the transfer function after the entire algorithm has been run.
The algorithm has their back.
Second, the computational problems are often hard, and the algorithms have impractical running times.
We have run the algorithm ten different times and kept the best results.
We have run the SA algorithm for 100 times.
All the algorithms have been implemented and run in MATLAB.
"The algorithms have gotten so much better".
But over time the algorithms have improved.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com