Planning of Logistics Missions of the “UAV+Vehicle” Hybrid Systems

This paper considers the planning of logistics missions of hybrid transport systems, which include a car or other vehicle that can move from a base to other locations along a designated route, carrying one unmanned aerial vehicle (UAV). A meaningful formulation and mathematical models of optimization problems of distributing objects to bases, selecting bases, and generating UAV routes during the inspection of maintenance of a given set of objects in the presence of flight resource constraints are proposed. We have developed an algorithm based on ant colony optimization to solve the resulting combinatorial optimization problems. We present the results of a combinatorial experiment.