In the previous section, the inverse modelling was conducted using a 'blind' approach relying on extensive predictions and frequent use of the ANN model. Except for the direct search for the optimal 𝐷 through the minimization of the total nMSE within a wide 𝐷 range and pre-defined intervals, various optimization algorithms, as outlined in Section 2.5, can offer substantial improvements in efficiency, especially when multiple parameters need to be fitted simultaneously. This is specifically important for higher dimensional surrogate models in the case of multi-variable optimization.