The article describes the methodology of multi-criteria optimization of costs for the information protection system of the object of informatization. The technique is based on the use of a modified VEGA genetic algorithm. A modified algorithm for solving the MCO problem of parameters of a multi-circuit information protection system of an informatization object is proposed, which makes it possible to substantiate the rational characteristics of the ISS components, taking into account the priority metrics of OBI cybersecurity selected by the expert. In contrast to the existing classical VEGA algorithm, the modified algorithm additionally applies the Pareto principle, as well as a new mechanism for the selection of population specimens. The Pareto principle applies to the best point. At this point, the solution, interpreted as the best, if there is an improvement in one of the cybersecurity metrics, and strictly no worse in another metric (or metrics). The new selection mechanism, in contrast to the traditional one, involves the creation of an intermediate population. The formation of an intermediate population occurs in several stages. At the first stage, the first half of the popul
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