The model of evolutionary optimization of production processes at advanced technological enterprises

This article deals with the optimization of production processes at advanced technological enterprises. An original approach based on evolutionary optimization algorithms, as well as the ideas of genetic algorithms, is proposed. The issues of economic expediency of evolutionary optimization are considered. An important advantage of these methods is that the optimization uses not a priori estimates but real achievements of production processes. The proposed approach allows not only finding optimal solutions for a given production process, but also developing new knowledge about the efficiency of production processes that can be fundamentally important for further science-intensive projects. © 2019.