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For questions related to local search algorithms used in AI (e.g. 2-opt or hill climbing).

1 vote

Why is a mix of greedy and random usually "best" for stochastic local search?

As an example of local/global minima, imagine being on a rugged, mountainous landscape, and you want to find the lowest point within some area. For a greedy search, every step you take will take you d …
Nuclear Hoagie's user avatar