Locating unmanned aircraft systems for multiple missions under different weather conditions
Danışment Vural (),
Robert F. Dell () and
Erkan Kose ()
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Danışment Vural: Turkish Land Forces
Robert F. Dell: Naval Postgraduate School
Erkan Kose: Nuh Naci Yagan University
Operational Research, 2021, vol. 21, issue 1, No 26, 725-744
Abstract Motivated by the increasing civilian use of Unmanned Aerial Vehicles (UAVs), this paper considers the simultaneous location and routing of UAVs for multiple missions and different weather conditions. We include modeling and computational experience inspired by requirements for air surveillance by the Turkish government’s public agencies. We model these demands in multiple mission areas and consider the impact of different weather conditions on the ability to employ UAVs from different geographic locations. We formulate the problem as a two-stage stochastic integer linear program with recourse and get an optimal solution for realistic test instances in a reasonable amount of time using decomposition by weather and mission combinations. We also introduce an optimization-based heuristic with bounds based on our decomposition for larger test instances.
Keywords: Unmanned aircraft systems; Location routing problem; Stochastic integer linear program with recourse; Optimization-based heuristic; 90C110 (search for similar items in EconPapers)
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