Improvement of the optimization method based on the cat pack algorithm

Authors

DOI:

https://doi.org/10.15587/1729-4061.2023.273786

Keywords:

management object, cat pack algorithm, uncertainty of data, efficiency of assessment, reliability of decisions

Abstract

The problem that is being solved in the research is to increase the efficiency of decision-making in management tasks while ensuring the given reliability, regardless of the hierarchical nature of the object. The object of research is the decision-making support systems. The subject of the research is the decision-making process in management tasks using an improved cat flock algorithm. The research hypothesis is the possibility of increasing the efficiency of decision-making with a given assessment reliability. In the course of the research, an improved method of parametric optimization based on the improved algorithm of the cat flock was proposed. In the course of the research, the general provisions of the theory of artificial intelligence were used to solve the problem of analyzing the state of objects and subsequent parametric management in intelligent decision-making support systems.

The essence of the method improvement lies in the use of the following procedures, which improve basic procedures of the cat flock algorithm, namely, search and chase:

– training of individuals of a cat flock with the help of evolving artificial neural networks;

– taking into account the type of uncertainty of the initial data while constructing the metric of the path of the cat flock, which reduces the time of searching for the optimal solution;

– searching for a solution in several directions using individuals from the cat flock, which reduces the time of searching for the optimal solution;

– initial display of individuals from the cat flock not randomly;

– additional consideration of the chase parameter, which limits the chase area, which allows to take into account the priority of the search;

– the ability to determine the need to involve additional network hardware resources.

An example of the use of the proposed method is presented on the example of assessing the state of the operational situation of a group of troops (forces). The specified example showed a 17–23 % increase in the efficiency of data processing due to the use of additional improved procedures

Author Biographies

Volodymyr Koval, General Staff of the Armed Forces of Ukraine

PhD, Senior Researcher

Deputy Chief

Olena Nechyporuk, National Aviation University

Doctor of Technical Sciences, Associate Professor

Department of Computerized Control Systems

Andrii Shyshatskyi, Research Center For Trophy And Perspective Weapons and Military Equipment

PhD, Senior Researcher, Head of Department

Department of Robotic Systems Research

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

Oleh Shknai, Scientific-Research Institute of Military Intelligence

PhD, Leading Researcher

Scientific-Research Department

Yevhen Zhyvylo, National University “Yuri Kondratyuk Poltava Polytechnic”

PhD, Associate Professor

Department of Computer and Information Technologies and Systems

Viktor Yerko, State Scientific-Research Institute of Aviation

PhD, Head of Research Department,  Deputy Head of Scientific Research Department

Borys Kreminskyi, Institute of Education Content Modernization

Doctor of Pedagogical Sciences, Professor, Head of Department

Department of Operating With Gifted Youth

Oleksandr Kovbasiuk, Central Scientifically-Research Institute of Armaments and Military Equipment of the Armed Forces of Ukraine

PhD

Head of Research Department, Deputy Head of Scientific Research Department

Anton Bychkov, Central Scientifically-Research Institute of Armaments and Military Equipment of the Armed Forces of Ukraine

PhD, Head

Scientific-Research Laboratory of Automation of Scientific Researches

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Improvement of the optimization method based on the cat pack algorithm

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Published

2023-02-28

How to Cite

Koval, V., Nechyporuk, O., Shyshatskyi, A., Nalapko, O., Shknai, O., Zhyvylo, Y., Yerko, V., Kreminskyi, B., Kovbasiuk, O., & Bychkov, A. (2023). Improvement of the optimization method based on the cat pack algorithm. Eastern-European Journal of Enterprise Technologies, 1(9 (121), 41–48. https://doi.org/10.15587/1729-4061.2023.273786

Issue

Vol. 1 No. 9 (121) (2023): Information and controlling system

Section

Information and controlling system

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Copyright (c) 2023 Volodymyr Koval, Olena Nechyporuk, Andrii Shyshatskyi, Oleksii Nalapko, Oleh Shknai, Yevhen Zhyvylo, Viktor Yerko, Borys Kreminskyi, Oleksandr Kovbasiuk, Anton Bychkov

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