Milling is one of the most important cutting processes in the manufacturing industry. Accordingly, optimization measures in this area have a great influence on the efficiency in modern production systems, which in many cases is composed of entire machine parks consisting of milling machines. Tool wear on milling machines reduces tool life and causes quality features of manufactured products to drift out of the target range. Currently, this is associated with a high effort to detect and control occurring deviations. In the following, an approach will be presented in which the design of an automated quality control loop for milling processes based on the geometric detection of the manufactured components is developed. The subject is formulated as a mathematical optimization problem, which is solved using evolutionary algorithms.