IDEAS home Printed from https://ideas.repec.org/a/baq/taprar/v6y2023i2p15-19.html
   My bibliography  Save this article

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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Andrii Shyshatskyi & Tetiana Pluhina & Ganna Plekhova & Anzhela Binkovska & Sergii Pronin & Tetiana Stasiuk & Oleksii Nalapko & Nadiia Protas & Tetiana Pliushch & Dmytro Burlak, 2023. "The development of the method of evaluation of complex hierarchical systems based on improved alforitm of particle swarm," Technology audit and production reserves, PC TECHNOLOGY CENTER, vol. 6(2(74)), pages 15-19, September.
    • Handle: RePEc:baq:taprar:v:6:y:2023:i:2:p:15-19
    DOI: 10.15587/2706-5448.2023.288055
    as

    Download full text from publisher

    File URL: https://journals.uran.ua/tarp/article/download/288055/282018
    Download Restriction: no
    File URL: https://libkey.io/10.15587/2706-5448.2023.288055?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:baq:taprar:v:6:y:2023:i:2:p:15-19. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Iryna Prudius (email available below). General contact details of provider: https://journals.uran.ua/tarp/issue/archive .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.