R.A. Kochkarov1, A.V. Timoshenko2, A.M. Kazancev3, A.M. Kochkarov4, A.A. Omelshin5
1–3 Financial University under the Government of the Russian Federation (Moscow, Russia)
4 North Caucasian State Academy (Cherkessk, Russia)
5 Military University of Radio Electronics (Cherepovets, Russia)
1 rkochkarov@fa.ru
Ensuring the structural and functional stability and integrity of spatially distributed information monitoring systems under the influence of destabilizing factors requires optimization procedures, the mathematical basis of which is, among other things, the solution of NP-complete problems. The urgency of the problem is due to the limited applicability of known discrete optimization methods for spatially distributed large-dimensional systems modeled on the basis of prefractal graphs.
Development of a methodology for investigating NP-complete problems for spatially distributed large-dimensional monitoring information systems based on the adaptation of classical NP-complete problems on large prefractal graphs.
A method for solving partial statements of NP-complete problems on large prefractal graphs is proposed, which takes into account the properties of self-similarity and the hierarchical structure of prefractal graphs and includes successive stages of dividing the problem into hierarchical subtasks, recursively solving these subtasks and constructing a global solution based on them.
The proposed technique makes it possible to reduce computational complexity when solving optimization statements of NP-complete problems on large graphs, which makes it applicable to ensure the structural and functional stability and integrity of spatially distributed monitoring information systems under the influence of destabilizing factors.
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