An optimization process covers the exploration of the value space of the multiple variables that can be recalibrated (within some constraints). By leveraging ML routines, the exploration discovers certain schemas. By utilizing these settings, the desired KPis can be achieved without sketching the actual mapping functions by hand, which would require a high level of quantitative knowledge in some dedicated fields (e.g. thermodynamics, fluid dynamics)