Publication:
Intellegent Sytems for Disaster Management : Anmanned Aerial Vehicles

dc.contributor.authorDÜNDAR, Uğurcan
dc.contributor.authorID275477tr_TR
dc.date.accessioned2019-09-05T13:30:50Z
dc.date.available2019-09-05T13:30:50Z
dc.date.issued2019-07
dc.description.abstractThis paper formulates the UAVs' surveillance problem as a location-routing problem, where limited energy capacities of UAVs are modeled explicitly as constraints that account for their different flight statuses. The formulation decides for the locations of capacitated stations to swap the batteries of UAVs, and their routes to visit a number of known target points. We also formulate novel subtours elimination constraints, which eliminate all subtours that do not start and end at the main depot. Our formulation can be applied for the risk mitigation phase of disaster management, where the risk of a disaster is reduced through constant monitoring of the disaster area (area at which refugee boats usually sink) by UAVs.tr_TR
dc.identifier.urihttps://hdl.handle.net/11413/5248
dc.language.isoen_UStr_TR
dc.relation.journalInternational Conference on Intellegent and Fuzzy Sytemstr_TR
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectIntelligent Systemstr_TR
dc.subjectLocation-Routing Problemstr_TR
dc.subjectMixed-Integer Linear Programmingtr_TR
dc.subjectRisk Mitigation Phasetr_TR
dc.titleIntellegent Sytems for Disaster Management : Anmanned Aerial Vehiclestr_TR
dc.typeconferenceObjecttr_TR
dspace.entity.typePublication

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