[tel]

Sure, but there are a lot of them, they involve several layers of metaheuristics to balance different approaches, and nobody has been able to automatically grow something which matches the same success rate as highly trained human heuristic layering.

Which maybe takes some fun out of it, but this does seem to be an area where humans consistently out-perform AI: when local optimizations have to be balanced across many medium to medium-large optimization criteria as well. Similar things happen in language, at least metaphorically.