The surrogate model is constructed to approximate the objective function f (x) and can be queried for mean and uncertainty estimates of the objective across the parameter space. Acquisition functions, α(x), are used to guide the selection of parameter recommendations using the surrogate model's prediction. Specifically, maximization of α(x) reveals the parameters x next for subsequent measurement.