The development of the solution search method based on the improved bee colony algorithm

Keywords: bee algorithm, heterogeneous intelligence objects, intelligent systems, decision-making support systems


Active digitization of people's daily life leads to the use of the decision-making support systems (DMSS). DMSS is actively used in data processing, forecasting the course of various processes, providing informational support for the decision-making process by decision makers. However, a number of problems arise while evaluating monitoring objects, namely: a large number of destabilizing factors affecting the efficiency of the processes of information collection, processing and transmission; high dynamism of changes in the state and composition of heterogeneous monitoring objects during the conduct of hostilities (operations); high dynamism of conducting hostilities (operations); the uncertainty of the initial situation and the noise of the initial data. In this article, a method of finding solutions based on an improved bee colony algorithm was developed.

The efficiency of information processing is achieved by learning the architecture of artificial neural networks; taking into account the type of uncertainty of the information to be evaluated; the use of an improved algorithm of the bee colony, the use of an unordered linguistic scale of measurements with adjustment coefficients for the degree of awareness and the degree of noise of the initial data. An approbation of the use of the proposed method was carried out on the example of assessing the state of the operational grouping of troops (forces). The method is proposed to be used in the development of software for automated systems of control of troops and weapons, namely, in the modernization of existing and development of new automated systems of control of troops and weapons. The evaluation of the effectiveness of the proposed method showed an increase in the efficiency of the evaluation at the level of 21–28 % in terms of the efficiency of information processing


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Author Biographies

Andrii Shyshatskyi, Taras Shevchenko National University of Kyiv

Educational and Scientific Institute of Public Administration and Civil Service

Alexander Ishchenko, Central Scientific Research Institute of Armament and Military Equipment of the Armed Forces of Ukraine

Scientific Research Department of Communication

Serhii Salnyk, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

Scientific Research Center

Institute of Special Communications and Information Protection

Oleksandr Trotsko, Military Institute of Telecommunications and Information Technologies named after Heroes of Kruty

Deputy Head of Faculty

Lyubov Shabanova-Kushnarenko, National Technical University “Kharkiv Polytechnic Institute”

Department of Intelligent Computer Systems

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

Department of Automated Control Systems

Ruslan Kornienko, National University of Civil Defence of Ukraine

Research Center


Kuchuk, N., Mohammed, A. S., Shyshatskyi, A., Nalapko, O. (2019). The method of improving the efficiency of routes selection in networks of connection with the possibility of self-organization. International Journal of Advanced Trends in Computer Science and Engineering, 8 (1.2), 1–6. Available at:

Sova, O., Turinskyi, O., Shyshatskyi, A., Dudnyk, V., Zhyvotovskyi, R., Prokopenko, Y., Hurskyi, T., Hordiichuk, V., Nikitenko, A., Remez, A. (2020). Development of an algorithm to train artificial neural networks for intelligent decision support systems. Eastern-European Journal of Enterprise Technologies, 1 (9 (103)), 46–55. doi:

Makarenko, S. I., Mikhailov, R. L. (2013). Ocenka ustoychivosti seti svyazi v usloviyah vozdeystviya na nee destabihziruyushhih faktorov. Radioengineering and Telecommunication Systems, 4, 69–79.

Bodyanskiy, E., Strukov, V., Uzlov, D. (2017). Generalized metrics in the problem of analysis of multidimensional data with different scales. Zbirnyk naukovykh prats Kharkivskoho universytetu Povitrianykh Syl, 3 (52), 98–101. Available at:

Semenov, V. V., Lebedev, I. S. (2019). Processing of signal information in problems of monitoring information security of unmanned autonomous objects. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 19 (3), 492–498. doi:

Zhou, S., Yin, Z., Wu, Z., Chen, Y., Zhao, N., Yang, Z. (2019). A robust modulation classification method using convolutional neural networks. EURASIP Journal on Advances in Signal Processing, 2019 (1). doi:

Shaheen, E. M., Samir, M. (2013). Jamming Impact on the Performance of MIMO Space Time Block Coding Systems over Multi-path Fading Channel. REV Journal on Electronics and Communications, 3 (1-2). doi:

Malik, S., Kumar, S. (2017). Optimized Phase Noise Compensation Technique using Neural Network. Indian Journal of Science and Technology, 10 (5), 1–6. doi:

Bolotova, S. Yu., Makhortov, S. D. (2011). Algoritmy relevantnogo obratnogo vyvoda na osnove resheniya produktsionno-logicheskikh uravneniy. Iskusstvenniy intellekt prinyatiye resheniyi, 2, 40‒50.

Zhyvotovskyi, R., Shyshatskyi, A., Petruk, S. (2017). Structural-semantic model of communication channel. 2017 4th International Scientific-Practical Conference Problems of Infocommunications. Science and Technology (PIC S&T). doi:

Orouskhani, M., Orouskhani, Y., Mansouri, M., Teshnehlab, M. (2013). A Novel Cat Swarm Optimization Algorithm for Unconstrained Optimization Problems. International Journal of Information Technology and Computer Science, 5 (11), 32–41. doi:

The development of the solution search method based on the improved bee colony algorithm

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How to Cite
Shyshatskyi, A., Ishchenko, A., Salnyk, S., Trotsko, O., Shabanova-Kushnarenko, L., Velychko, V., & Kornienko, R. (2023). The development of the solution search method based on the improved bee colony algorithm. EUREKA: Physics and Engineering, (3), 187-194.
Computer Science

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