In accordance with the assumption behind GPs, we normalize the deliverable capacities to have mean zero and unit variance (using the training data only). During the acquisition phase, we evaluate the acquisition function for each COF in the database and select the COF with the highest value, in contrast to optimizing the acquisition function over the continuous COF feature space.