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Autonomous Flight of Unmanned Aerial Vehicles Using Evolutionary Algorithms
Gaudín, Américo; Madruga, Gabriel; Rodríguez, Carlos et al.
2020In High Performance Computing
Peer reviewed
 

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Abstract :
[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.
Disciplines :
Computer science
Author, co-author :
Gaudín, Américo
Madruga, Gabriel
Rodríguez, Carlos
Iturriaga, Santiago
Nesmachnow, Sergio
Paz, Claudio
Danoy, Grégoire  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Computer Science and Communications Research Unit (CSC)
Bouvry, Pascal ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Crespo-Mariño, Juan Luis
Meneses-Rojas, Esteban
External co-authors :
yes
Language :
English
Title :
Autonomous Flight of Unmanned Aerial Vehicles Using Evolutionary Algorithms
Publication date :
2020
Event name :
Latin American High Performance Computing Conference (CARLA 2019)
Event date :
from 25-09-2019 to 27-09-2019
Audience :
International
Main work title :
High Performance Computing
Publisher :
Springer International Publishing, Cham, Unknown/unspecified
ISBN/EAN :
978-3-030-41005-6
Pages :
337--352
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 23 March 2020

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