A software implementation of the problem of multi-criteria optimization of the selection of information protection means (IPS) for a university computer network has been developed based on the evolutionary algorithm NSGA-II. A cybernetic model for selecting the optimal set of IPS has been considered taking into account a set of criteria, including the cost of implementation, the level of reliability, and coverage of current threats. Optimization objective functions have been determined, each of which is a function of discrete variables described in the literature and characterizes possible IPS configurations. In the software implementation of NSGA-II, an algorithm for generating the initial population of solutions with crossover, mutation, and selection mechanisms was implemented, which provides an effective search for Pareto-optimal configurations, and computational experiments were also conducted to demonstrate the influence of model parameters on the optimization result visualized on graphs. A Pareto front was obtained, which visualizes the trade-offs between cost, reliability, and level of protection. The results obtained during the study generally confirm that the use of the e
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