Abstract:
ing tasks in a swarm of UAVs in a clustered target field. This article presents an iterative method for distributing tasks among agents of a swarm of unmanned aerial vehicles (UAVs) in a clustered target field,
when the number of tasks significantly exceeds the number of agents. The main tasks solved by UAVs are
surveillance and reconnaissance, detection of dangerous objects or places of emergency, search for victims, etc. The efficiency of solving the problems listed above is achieved by the simultaneous use of a
group of UAVs, the elements (agents) of which can carry out the tasks of inspecting and scanning various
areas in parallel. At the same time, the number of tasks can significantly exceed the number of UAV
swarm agents. To organize the work of a swarm of UAVs in this case, it is necessary to solve the problem
of labor division, considering the conditions of the problem. The results showed the high efficiency of the
proposed task distribution method according to the criterion of minimizing the travel distance of agents
