How to find the state of the art algorithm for a specific problem Are there any good methods for doing this? I can find papers with algorithms, but they usually do not show their computational results with the same problem sets and the publishing year of two papers is usually different so they will most likely use different equipment for solving the problems.
Edit:
By problem, I am referring also to the specific size of the problem, memory usage and other characteristics of the problem.
I generally go through review papers in the field and try to cite them as well if they have any sentence in the paper &quot;claiming that the previous method is SOTA&quot;.
There are also benchmark sites.
Famous datasets even have their personal benchmarks linked to their sites.
You could use research gate or any other forum and ask a question there.
You could try a keyword search on google scholar and see if any paper claims to do so.

Regarding the difference in setting, generally the &quot;well-acclaimed&quot; SOTA papers don't have these issues. At least that's what I've noticed majorly in my field.
If that is the case, then I suggest making a small study within the paper covering all the results in the different settings. (Please do correct me if I'm wrong here).