350 rub
Journal Science Intensive Technologies №6 for 2024 г.
Article in number:
The method of application particle swarm algorithm in a multi-agent system for the rational placement of complex technical systems
Type of article: scientific article
DOI: 10.18127/j19998465-202406-06
UDC: 004.832.25
Authors:

M.V. Kuzmenko1, E.G. Berger2, I.S. Gantts3

1 Military Academy of Military Air Defense of the Armed Forces of the Russian Federation (Smolensk, Russia)
2,3 MIREA – Russian Technological University (RTU MIREA) (Moscow, Russia)
1 fes4s@yandex.ru

Abstract:

This article discusses a multi-agent system designed for the rational placement of complex technical systems on the ground. Existing approaches do not allow changing the composition, and they solve the problem of placing complex technical systems on the ground in a limited way.

Goal – consider a multi-agent system using a particle swarm algorithm to find optimal positions on a digital terrain map for complex technical systems.

A method of functioning of a multi-agent system using a metaheuristic algorithm for optimizing a swarm of particles is proposed. The stages of the system's operation to achieve the set goal are defined.

The implementation of the proposed method will solve a number of problems related to the construction and rational placement of complex technical systems on the ground.

This article discusses a multi-agent system (MAS) designed for the rational placement of diverse complex technical systems on the ground. The system includes subordinate agents who use the particle swarm algorithm to find the optimal position, and a coordinating agent who manages subordinate agents and prevents them from converging into one point. The particle swarm algorithm allows agents to adapt to changing conditions and find the best positions, taking into account the maximum and minimum mutual removal.

Pages: 44-47
For citation

Kuzmenko M.V., Berger E.G., Gantts I.S. The method of application particle swarm algorithm in a multi-agent system for the rational placement of complex technical systems. Science Intensive Technologies. 2024. V. 25. № 6. P. 44−47. DOI: https://doi.org/ 10.18127/ j19998465-202406-06 (in Russian)

References
  1. Konyavskij V.A. Mul'tiagentnye sistemy. Samoorganizaciya i razvitie. Finansy i statistika. 2018. S. 26–27 (in Russian).
  2. Tarasov V.B. Vvedenie v teoriyu agentov i mul'tiagentnyh sistem. Editorial URSS. 2019. S. 14–15 (in Russian).
  3. Karpenko A.P. Sovremennye algoritmy poiskovoj optimizacii. Algoritmy, vdohnovlennye prirodoj. MGTU im. N. E. Baumana. 2014. S. 173–176 (in Russian).
Date of receipt: 02.11.2024
Approved after review: 14.11.2024
Accepted for publication: 28.11.2024