"All" evolutionary algorithms are basically a local search with smart heuristics. Where a local search is a brute-force where you move in small directions based on feedback on where you are in the solution space.
I understand how the algorithms work. What I'm suggesting is that the demo seems to behave like a hill-climbing algorithm that's been unleashed on a terrain that's flat everywhere except the solution.
Not really, if you add new individuals from random then you're doing some global search (or just have a higher mutation rate - but that has some problems)
