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A simheuristic for the unmanned aerial vehicle surveillance-routing problem with stochastic travel times and reliability considerations

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hdl:2117/178421

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Panadero, Javier
Juan Pérez, Ángel Alejandro
Serrat Piè, CarlesMés informacióMés informacióMés informació
Grifoll Colls, ManelMés informacióMés informacióMés informació
Freixes, Alfons
Document typeConference report
Defense date2019
Rights accessOpen Access
Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain
Abstract
In the unmanned aerial vehicle (UAV) surveillance-routing problem, a limited fleet of UAVs with driving-range limitations have to visit a series of target zones in order to complete a monitoring operation. This operation typically involves taking images and / or registering some key performance indicators. Whenever this surveillance action is repetitive, a natural goal to achieve is to complete each cycle of visits as fast as possible, so that the number of times each target zone is visited during a time interval is maximized. Since many factors might influence travel times, they are modeled as random variables. Reliability issues are also considered, since random travel times might cause that a route cannot be successfully completed before the UAV runs out of battery. In order to solve this stochastic optimization problem, a simheuristic algorithm is proposed. Computational experiments contribute to illustrate these concepts and to test the quality of our approach.
CitationPanadero, J. [et al.]. A simheuristic for the unmanned aerial vehicle surveillance-routing problem with stochastic travel times and reliability considerations. A: Winter Simulation Conference. "Proceeding of the 2019 Winter Simulation Conference". 2019, p. 1883-1893. 
URIhttp://hdl.handle.net/2117/178421
ISBN978-1-7281-3283-9
Publisher versionhttps://www.informs-sim.org/wsc19papers/185.pdf
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