Development of a method of increasing the efficiency of decision-making in organizational and technical systems

Authors

DOI:

https://doi.org/10.15587/1729-4061.2024.298568

Keywords:

management efficiency, complex processes, giant armadillo swarm algorithm, hierarchical systems

Abstract

The object of the study is organizational and technical systems. The subject of the study is the decision-making process in the problems of management of organizational and technical systems. A method of increasing the efficiency of decision-making in organizational and technical systems using artificial intelligence is proposed. The research is based on the giant armadillo swarm algorithm to find a solution regarding the state of organizational and technical systems. Giant armadillo agents (GAA) are trained using evolving artificial neural networks, and an advanced genetic algorithm is used to select the best GAA. The method has the following sequence of actions:

– input of initial data;

– setting GAA on the search plane;

– numbering GAA in the swarm;

– determining the initial velocity of GAA;

– preliminary evaluation of the GAA search area;

– classification of food sources for GAA;

– sorting the best GAA individuals;

– attack on termite mounds by GAA;

– digging termite mounds by GAA;

– updating GAA positions;

– checking for the presence of a GAA predator;

– escape and fight against GAA predators;

– checking the stop criterion;

– training GAA knowledge bases;

– determining the amount of necessary computing resources of the intelligent decision support system.

The originality of the proposed method lies in setting GAA taking into account the uncertainty of the initial data, advanced procedures of global and local search taking into account the noise degree of data on the state of organizational and technical systems. The method makes it possible to increase the efficiency of data processing at the level of 14–19 % using additional advanced procedures. The proposed method should be used to solve the problems of evaluating complex and dynamic processes

Author Biographies

Salman Rasheed Owaid, Al-Taff University College

PhD, Assosiate Professor, Lecturer

Department of Computer Engineering

Yurii Zhuravskyi, Zhytomyr Military Institute named after S. P. Koroliov

Doctor of Technical Sciences, Senior Researcher, Deputy Head of Scientific Center

Scientific Center

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

PhD, Senior Researcher

Research Center

Andrii Veretnov, Central Scientifically-Research Institute of Armaments and Military Equipment of the Armed Forces of Ukraine

PhD, Senior Researcher

Research Department

Dmytro Sokolovskyi, Khmelnytskyi National University

PhD, Senior Researcher

Department of Economic Theory, Entrepreneurship and Trade

Ganna Plekhova, Kharkiv National Automobile and Highway University

PhD, Associate Professor

Department of Informatics and Applied Mathematics

Volodymyr Hrinkov, Kruty Heroes Military Institute of Telecommunications and Information Technology

Володимир Олександрович

Tetiana Pluhina, Kharkiv National Automobile and Highway University

PhD, Associate Professor

Department Automation and Computer-Integrated Technologies

Serhii Neronov, Kharkiv National Automobile and Highway University

Senior Lecturer

Department of Computer Systems

Oleksii Dovbenko, Scientific-Research Institute of Military Intelligence

Researcher

Research Department

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Development of a method of increasing the efficiency of decision-making in organizational and technical systems

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Published

2024-02-28

How to Cite

Owaid, S. R., Zhuravskyi, Y., Lytvynenko, O., Veretnov, A., Sokolovskyi, D., Plekhova, G., Hrinkov, V., Pluhina, T., Neronov, S., & Dovbenko, O. (2024). Development of a method of increasing the efficiency of decision-making in organizational and technical systems. Eastern-European Journal of Enterprise Technologies, 1(4 (127), 14–22. https://doi.org/10.15587/1729-4061.2024.298568

Issue

Vol. 1 No. 4 (127) (2024): Mathematics and Cybernetics - applied aspects

Section

Mathematics and Cybernetics - applied aspects

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Copyright (c) 2024 Salman Rasheed Owaid, Yurii Zhuravskyi, Oleksandr Lytvynenko, Andrii Veretnov, Dmytro Sokolovskyi, Ganna Plekhova, Volodymyr Hrinkov, Tetiana Pluhina, Serhii Neronov, Oleksii Dovbenko

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