Reference : Autonomous Flight of Unmanned Aerial Vehicles Using Evolutionary Algorithms
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/42822
Autonomous Flight of Unmanned Aerial Vehicles Using Evolutionary Algorithms
English
Gaudín, Américo [> >]
Madruga, Gabriel [> >]
Rodríguez, Carlos [> >]
Iturriaga, Santiago [> >]
Nesmachnow, Sergio [> >]
Paz, Claudio [> >]
Danoy, Grégoire mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Computer Science and Communications Research Unit (CSC)]
Bouvry, Pascal mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)]
Crespo-Mariño, Juan Luis [> >]
Meneses-Rojas, Esteban [> >]
2020
High Performance Computing
Springer International Publishing
337--352
Yes
International
978-3-030-41005-6
Cham
Latin American High Performance Computing Conference (CARLA 2019)
from 25-09-2019 to 27-09-2019
[en] This article explores the application of evolutionary algorithms and agent-oriented programming to solve the problem of searching and monitoring objectives through a fleet of unmanned aerial vehicles. The subproblem of static off-line planning is studied to find initial flight plans for each vehicle in the fleet, using evolutionary algorithms to achieve compromise values between the size of the explored area, the proximity of the vehicles, and the monitoring of points of interest defined in the area. The results obtained in the experimental analysis on representative instances of the surveillance problem indicate that the proposed techniques are capable of computing effective flight plans.
http://hdl.handle.net/10993/42822

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