How do you determine which is the best next point where to evaluate the model?<p>Simulated annealing is blind, what you do with simulated annealing you just move locally around the current point.<p>If you had a partial picture of the landscape of the function, how would you locate the most interesting unvisited point in the landscape?<p>I do have to admit that what I&#x27;m seeing here is only the application of Bayesian sampling algorithms, there are startups doing similar things for A&#x2F;B testing and similar.