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It becomes the current, or spot, contract today.
If the cots decreases, the generated neighbor solution becomes the current one, otherwise the algorithm decides with a certain probability whether remains or becomes the current solution.
In each iteration, the best neighbor solution becomes the current solution for the next iteration.
If ( z < exp left( { - frac{{f(x) - f(x^{prime})}}{T}} right) ) [8], x′ becomes the current solution.
The decoded string then becomes the current working string (the current index, ie. the substring, is remembered), and the process repeats.
Instead, it becomes the current solution with probability p(T) which is usually determined using p ( T ) = e − ΔE / T, (2).
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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