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International Theoretical Science Journal
Volume 59 >>> № 5 SEPTEMBER — OCTOBER 2023
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UDC 519.8
V.P. Horbulin1, L.F. Hulianytskyi2, I.V. Sergienko3


1 National Academy of Sciences of Ukraine, Kyiv, Ukraine

 horbulin@nas.gov.ua

2 V.M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kyiv, Ukraine

 leonhul.icyb@gmail.com

3 V.M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kyiv, Ukraine

 incyb@incyb.kiev.ua

PLANNING OF LOGISTICS MISSIONS OF THE «UAV+VEHICLE» HYBRID SYSTEM

Abstract. This paper considers the planning of logistics missions for 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 or 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 computational experiment.

Keywords: logistics mission planning, dynamic bases, route optimization, vehicle, UAV, ant colony optimization.


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