Model of an artificial neural network for solving the problem of controlling a genetic algorithm using the mathematical apparatus of the theory of Petri nets

The aim of the study was to increase the speed, quantity and quality of solutions in intelligent systems aimed at solving the problem of structural-parametric synthesis of models of large discrete systems with a given behavior. As a hypothesis, it was assumed that the adapted model of an artificial neural network is able to control changes in the parameters of the functioning of the operators of the genetic algorithm directly in the process of solving the problem of intelligent structural-parametric synthesis of models of large discrete system