> There is even research by now that aims to use ML to find good heuristics for a given family of problems (where the common characteristics of the problems might lend to a dominant heuristic).
I think I have spotted some papers about this for combinatorial problems but not for continuous variables, which makes sense given their relative hardness.
Do you know some papers, journals, conferences about this?
I'm interested specially about the view from people working in optimization research more than in AI.
I think we're probably thinking of the same papers. There was a competition /session at last year's neurips and there's related papers linked from their webpage.
I think I have spotted some papers about this for combinatorial problems but not for continuous variables, which makes sense given their relative hardness.
Do you know some papers, journals, conferences about this?
I'm interested specially about the view from people working in optimization research more than in AI.