Yeah, agreed -- evolution doesn't produce best, just good enough. But for large classes of 'problems', we can't (from a computational complexity standpoint) find best outcomes efficiently.

'Evolutionary' techniques, are, in some sense, 'trial and error'. For many tasks where we already have efficient algorithms, this isn't particularly useful. However, where we DONT have efficient algorithms, or know what the concept of what an 'efficient' algorithm even is, trial and error techniques, like evolutionary algorithms, seem like great choices.