Modeling optimization problems when training engineering specialists using intelligent training systems

Abstract

The article is devoted to the development of computer training tools for engineering specialists in the food industry. A method has been developed for modeling optimization problems for exercises in an intelligent training complex when training engineering specialists. The method differs from the known ones in many parameters that determine the properties of the optimization problems being studied for simulating these problems in the virtual environment. A method has been developed for modeling the complexity levels of exercises in intelligent training complex based on the parameters of optimization problems for adaptive training of specialists. The method differs from the known ones by using a dynamic set of parameters that determine the complexity of the structure of the optimization problem in the exercise, the complexity of the process of performing the exercise based on the properties of the simulated problem. The obtained research results in a practical aspect make it possible to create universal intelligent training complex for modeling optimization problems by production processes, considering the specifics of these tasks, instead of creating a new training complex for each topic or discipline being studied, which helps reduce the labor intensity of creating training courses for training specialists.