Abstract
The article considers the problem of modelling the processes of training (retraining) specialists to take into account changes in their professional field in a timely manner. It is considered that specialists sent for training (retraining) may have a different set of initial competencies. As a result, organizations engaged in educational activities may have various training (retraining) programs aimed at a different contingent of students. However, these organizations have limited capacity to carry out the activities of this type. In addition, these programs may vary significantly in terms of their development cost, both due to the cost of resources used by the educational organization and the cost of sending specialists by the dispatching organization. Therefore, organizations forwarding their specialists for training (retraining) need to select the optimal composition of training (retraining) programs for experts, providing each specialist with the greatest number of new competencies within a given constraint on financing this activity. To solve this problem, a mathematical model is developed and the choice of a numerical method based on using a genetic algorithm is substantiated. For this purpose the authors propose descriptions of genes, chromosomes, and individuals, as well as rules for forming a population, an evaluation function for individuals’ fitness, a selection operation, a crossover, and a method of individuals’ mutation. The conducted numerical experiments show the high efficiency of this numerical method.
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