The development of the method of evaluation of complex hierarchical systems based on improved alforitm of particle swarm

Andrii Shyshatskyi (), Tetiana Pluhina, Ganna Plekhova, Anzhela Binkovska, Sergii Pronin, Tetiana Stasiuk, Oleksii Nalapko, Nadiia Protas, Tetiana Pliushch and Dmytro Burlak
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Andrii Shyshatskyi: National Aviation University
Tetiana Pluhina: Kharkiv National Automobile and Highway University
Ganna Plekhova: Kharkiv National Automobile and Highway University
Anzhela Binkovska: Kharkiv National Automobile and Highway University
Sergii Pronin: Kharkiv National Automobile and Highway University
Tetiana Stasiuk: Military Institute of Telecommunications and Information Technologies named after Heroes of Kruty
Oleksii Nalapko: Central Scientifically-Research Institute of Armaments and Military Equipments of the Armed Forces of Ukraine
Nadiia Protas: Poltava State Agrarian University
Tetiana Pliushch: Kyiv National University of Construction and Architecture
Dmytro Burlak: Research Institute of Military Intelligence

Technology audit and production reserves, 2023, vol. 6, issue 2(74), 15-19

Abstract: The scientific task, which is solved in the research, is to increase the efficiency of the evaluation of complex hierarchical real-time systems. Finding solutions to nonlinear optimization problems and especially global optimization problems is one of the most popular problems in computational mathematics. In applied problems, the objective function, as a rule, has a large number of variables, is not given in an analytical form and is calculated as some integral characteristic of a complex dynamic process. The development of effective methods, to a certain extent adaptive to the variability of the objective function, is especially relevant in connection with the development of computer technology and the possibility of using parallel computing systems. The conducted research was aimed at developing a method of evaluating complex hierarchical systems based on an improved particle swarm. At the same time, the object of research was complex hierarchical real-time systems. The subject of research is the functioning of real-time hierarchical systems.The novelties of the proposed method consist in:‒ creating a multi-level and interconnected description of complex systems of hierarchical real-time systems;‒ increasing the efficiency of decision making while evaluating complex systems of hierarchical real-time systems;‒ solving the problem of falling into global and local extremes while assessing the state of complex systems of hierarchical real-time systems;‒ the possibilities of directed search by several individuals of the particles swarm in a given direction, taking into account the degree of uncertainty;‒ the possibilities of re-analysis of the state of complex systems of hierarchical real-time systems;‒ avoiding the problem of loops while visualizing the state of the national security system in real time.It is advisable to implement the specified method in specialized software, which is used to analyze the state of complex systems of hierarchical real-time systems and make management decisions.

Keywords: complex hierarchical real-time systems; responsiveness; particle swarm; global and local optimization (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:baq:taprar:v:6:y:2023:i:2:p:15-19

DOI: 10.15587/2706-5448.2023.288055

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