Development of a method for the search of solutions in the sphere of national security using bio-inspired algorithms

Authors

DOI:

https://doi.org/10.15587/1729-4061.2023.280355

Keywords:

efficiency of decision-making, decision support systems, complex processes, national security

Abstract

The object of research are decision support systems. The subject of research is the decision-making process in management problems using bio-inspired algorithms.

A method for the search of solutions in the field of national security using bio-inspired algorithms is proposed. The proposed method is based on a combination of an artificial bat algorithm and evolving artificial neural networks. The method has the following sequence of actions:

‒ input of initial data;

‒ processing of initial data taking into account the degree of uncertainty;

‒ numbering of bat agents (BA);

‒ placement of bat agents taking into account the degree of uncertainty about the state of the analysis object in the search space;

‒ setting the initial BA speed and the echolocation frequency of each BA;

‒ starting a local search;

‒ launching a global search;

‒ training knowledge bases of bat agents.

The originality of the proposed method consists in the arrangement of bat agents taking into account the uncertainty of initial data, improved global and local search procedures taking into account the noise degree of data about the state of the analysis object.

Another feature of the proposed method is the use of an improved procedure for training bat agents. The training procedure consists in learning the synaptic weights of an 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 13–21 % due to the use of additional improved procedures. The proposed method should be used to solve the problems of evaluating complex and dynamic processes in the interests of solving national security problems

Author Biographies

Volodymyr Koval, General Staff of the Armed Forces of Ukraine

PhD, Senior Researcher, Deputy Chief

Andrii Shyshatskyi, Taras Shevchenko National University of Kyiv

PhD, Senior Researcher

Educational and Scientific Institute of Public Administration and Civil Service

Ruslan Ransevych, State Enterprise "Central Research Institute of Navigation and Management"

PhD, Director

Viktoriya Gura, Taras Shevchenko National University of Kyiv

PhD, Associate Professor, Deputy Director of Scientific and Pedagogical Work

Educational and Scientific Institute of Public Administration and Civil Service

Oleksii Nalapko, Central Scientifically-Research Institute of Armaments and Military Equipment of the Armed Forces of Ukraine

PhD, Senior Researcher

Scientific-Research Laboratory of Automation of Scientific Researches

Larysa Shypilova, Taras Shevchenko National University of Kyiv

PhD, Associate Professor

Department of Global and National Security

Educational and Scientific Institute of Public Administration and Civil Service

Nadiia Protas, Poltava State Agrarian University

PhD, Associate Professor

Department of Information Systems and Technologies

Oleksandr Volkov, Scientific-Research Institute of Military Intelligence

PhD, Senior Researcher, Head of Department

Scientific-Research Department

Oleksandr Stanovskyi, Odessa Polytechnic National University

Doctor of Technical Sciences, Professor

Department of Integrated Management Technologies

Olena Chaikovska, The National Defence University of Ukraine named after Ivan Cherniakhovskyi

Senior Lecturer

Department of Management of Troops (Forces) in Peace

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Development of a method for the search of solutions in the sphere of national security using bio-inspired algorithms

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Published

2023-06-30

How to Cite

Koval, V., Shyshatskyi, A., Ransevych, R., Gura, V., Nalapko, O., Shypilova, L., Protas, N., Volkov, O., Stanovskyi, O., & Chaikovska, O. (2023). Development of a method for the search of solutions in the sphere of national security using bio-inspired algorithms. Eastern-European Journal of Enterprise Technologies, 3(4 (123), 6–13. https://doi.org/10.15587/1729-4061.2023.280355

Issue

Vol. 3 No. 4 (123) (2023): Mathematics and Cybernetics - applied aspects

Section

Mathematics and Cybernetics - applied aspects

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Copyright (c) 2023 Volodymyr Koval, Andrii Shyshatskyi, Ruslan Ransevych, Viktoriya Gura, Oleksii Nalapko, Larysa Shypilova, Nadiia Protas, Oleksandr Volkov, Oleksandr Stanovskyi, Olena Chaikovska

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