Improvement of the solution search method based on the cuckoo algorithm

Authors

DOI:

https://doi.org/10.15587/1729-4061.2023.277608

Keywords:

cuckoo algorithm, artificial neural networks, bio-inspired algorithms, heterogeneous control objects

Abstract

An improved method of finding solutions based on the cuckoo algorithm is proposed. The research object is the decision-making support systems. The research subject is the decision making process in management tasks using artificial intelligence methods. The hypothesis of the research is to increase the efficiency of decision making with a given assessment reliability. The proposed method is based on a combination of the cuckoo algorithm and evolving artificial neural networks. The method has the following differences:

‒ an additional processing of the source data takes place taking into account the uncertainty about the state of the control objects and the type of data noise about the state of the control object is additionally taken into account;

‒ the state model of the control object is adjusted taking into account the available computing resources of the system;

‒ added procedures to reduce the probability of detecting nests and reducing the length of the cuckoo’s step;

‒ knowledge bases about management objects are additionally taught. The training procedure consists in learning the synaptic weights of the artificial neural network, the type and parameters of the membership function and the architecture of individual elements and the architecture of the artificial neural network as a whole. The effectiveness of the proposed method was evaluated and it was established that the proposed modification provides a better value of the objective function compared to the results obtained by other authors and ensures the fulfillment of all restrictions. The specified example showed an increase in the efficiency of data processing at the level of 21–28 % due to the use of additional improved procedures. It is advisable to use the proposed method in decision making support systems of automated control systems.

Author Biographies

Basem Abdullah Mohammed, Bilad Alrafidain University College

PhD, Lecturer

Department of Aeronautical Techniques Engineering

Oleksandr Zhuk, The National Defence University of Ukraine named after Ivan Cherniakhovskyi

Doctor of Technical Sciences, Associate Professor, Head of Department

Department of Communication Technologies and Cyber Protection

Roman Vozniak, The National Defence University of Ukraine named after Ivan Cherniakhovskyi

PhD, Deputy Head of Department

Department of Information Technology and Information Security

Institute of Troops (Forces) Support and Information Technologies

Ihor Borysov, Scientific-Research Institute of Military Intelligence

PhD, Associate Professor

Deputy Head of the Institute for Scientific Work

Volodymyr Petrozhalko, Central Scientific Research Institute of Armament and Military Equipment of the Armed Forces of Ukraine

PhD, Leading Researcher

Research Department

Igor Davydov, Central Scientific Research Institute of Armament and Military Equipment of the Armed Forces of Ukraine

PhD, Head of Research Department

Research Department

Oleh Borysov, Military Institute of Telecommunications and Information Technologies named after Heroes of Kruty

PhD, Senior Lecturer

Department of Construction of Telecommunication Systems

Oleksandr Yefymenko, Kharkiv National Automobile and Highway University

PhD, Associate Professor

Department of Construction and Road-Building Machinery

Nadiia Protas, Poltava State Agrarian University

PhD, Associate Professor

Department of Information Systems and Technologies

Svitlana Kashkevich, National Aviation University

Seniour Lecturer

Department of Computerized Control Systems

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Improvement of the solution search method based on the cuckoo algorithm

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Published

2023-04-29

How to Cite

Mohammed, B. A., Zhuk, O., Vozniak, R., Borysov, I., Petrozhalko, V., Davydov, I., Borysov, O., Yefymenko, O., Protas, N., & Kashkevich, S. (2023). Improvement of the solution search method based on the cuckoo algorithm . Eastern-European Journal of Enterprise Technologies, 2(4 (122), 23–30. https://doi.org/10.15587/1729-4061.2023.277608

Issue

Vol. 2 No. 4 (122) (2023): Mathematics and Cybernetics - applied aspects

Section

Mathematics and Cybernetics - applied aspects

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Copyright (c) 2023 Basem Abdullah Mohammed, Oleksandr Zhuk, Roman Vozniak, Ihor Borysov, Volodymyr Petrozhalko, Igor Davydov, Oleh Borysov, Oleksandr Yefymenko, Nadiia Protas, Svitlana Kashkevich

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