Development of a method for assessing the state of dynamic objects using a combined swarm algorithm

Authors

DOI:

https://doi.org/10.15587/1729-4061.2024.304131

Keywords:

efficiency of decision-making, hierarchical structures, complex and dynamic objects, optimization

Abstract

The object of the study is complex dynamic objects. The subject of the study is the decision-making process in the problems of managing complex dynamic objects. A method of assessing the state of dynamic objects using a combined swarm algorithm is proposed. The research is based on a combined swarm algorithm - for finding a solution to the state of dynamic objects with a hierarchical structure. To train the individuals of the combined swarm algorithm (CSA), evolving artificial neural networks are used, and to select the best in the combined swarm algorithm, an improved genetic algorithm is used. The originality of the method is:

– in taking into account the type of uncertainty and noise of data during the operation of the combined swarm algorithm due to the use of appropriate correction factors;

– in the implementation of adaptive strategies for the search for food sources due to setting appropriate search priorities;

– in taking into account the presence of a predator while choosing food sources by the flock agents of the combined swarm algorithm, which allows excluding unwanted search areas;

– in the additional consideration of the available computing resources of the state analysis system of complex dynamic objects while determining the maximum permissible parameters of the combined swarm algorithm;

– in the possibility of changing the search area and speed of movement by separate individuals of the flock of the combined swarm algorithm;

– in determining the best individuals of the flock of the combined swarm algorithm using an improved genetic algorithm;

– in training knowledge bases, carried out by training the synaptic weights of the artificial neural network, the type and parameters of the membership function, the architecture of individual elements and the architecture of the artificial neural network as a whole.

The method makes it possible to increase the efficiency of data processing at the level of 14–20 % by using additional improved procedures. The proposed method should be used to solve problems of evaluating complex dynamic objects

Author Biographies

Andrii Shyshatskyi, National Aviation University

PhD, Senior Researcher, Associate Professor

Department of Computerized Management Systems

Oksana Dmytriieva, Kharkiv National Automobile and Highway University

Doctor of Economic Sciences, Professor, Head of Department

Department of Economics and Entrepreneurship

Oleksandr Lytvynenko, Military Institute of Taras Shevchenko National University of Kyiv

PhD, Senior Researcher

Research Center

Ihor Borysov, Scientific-Research Institute of Military Intelligence

PhD, Associate Professor

Deputy Head of the Institute for Scientific Work

Yuliia Vakulenko, Poltava State Agrarian University

PhD, Associate Professor

Department of Information Systems and Technologies

Temerbay Mukashev, Karaganda Buketov University

PhD, Professor

Department of Economics and International Business

Oleksandr Mordovtsev, Kharkiv National Automobile and Highway University

PhD, Associate Professor

Department of Economics and Entrepreneurship

Svitlana Kashkevich, National Aviation University

Senior Lecturer

Department of Computerized Management Systems

Anna Lyashenko, Military Institute of Telecommunications and Information Technologies named after Heroes of Kruty

Senior Researcher

Scientific Center

Vira Velychko, Military Institute of Telecommunications and Information Technologies named after Heroes of Kruty

Lecturer

Department of Automated Control Systems

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Development of a method for assessing the state of dynamic objects using a combined swarm algorithm

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Published

2024-06-28

How to Cite

Shyshatskyi, A., Dmytriieva, O., Lytvynenko, O., Borysov, I., Vakulenko, Y., Mukashev, T., Mordovtsev, O., Kashkevich, S., Lyashenko, A., & Velychko, V. (2024). Development of a method for assessing the state of dynamic objects using a combined swarm algorithm. Eastern-European Journal of Enterprise Technologies, 3(4 (129), 44–54. https://doi.org/10.15587/1729-4061.2024.304131

Issue

Vol. 3 No. 4 (129) (2024): Mathematics and Cybernetics - applied aspects

Section

Mathematics and Cybernetics - applied aspects

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Copyright (c) 2024 Andrii Shyshatskyi, Oksana Dmytriieva, Oleksandr Lytvynenko, Ihor Borysov, Yuliia Vakulenko, Temerbay Mukashev, Oleksandr Mordovtsev, Svitlana Kashkevich, Anna Lyashenko, Vira Velychko

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