The method of application particle swarm algorithm in a multi-agent system for the rational placement of complex technical systems

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.