I. Introduction
In industrial practice, the continuous improvement of manufacturing processes and costs minimization by reduction the number of production tests become increasingly important. This leads to search for new solutions in the field of advanced manufacturing processes optimization, including methods of their control [1]–[2]. The development of adequate mathematical models to describe complicated constructions is often not feasible. Artificial intelligence methods are used in the case of ineffectiveness of analytical methods. They adapt to changing conditions and solve optimization problems in the case of incomplete production data [3].