Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Ramirez-Atencia, Cristian"'
Publikováno v:
Sensors 18, no. 7: 2339 (2018)
Unmanned Aerial Vehicle (UAVs) have become very popular in the last decade due to some advantages such as strong terrain adaptation, low cost, zero casualties, and so on. One of the most interesting advances in this field is the automation of mission
Externí odkaz:
http://arxiv.org/abs/2402.18754
Weighted strategies to guide a multi-objective evolutionary algorithm for multi-UAV mission planning
Publikováno v:
Cristian Ramirez Atencia, Javier Del Ser, David Camacho: Weighted strategies to guide a multi-objective evolutionary algorithm for multi-UAV mission planning. Swarm and Evolutionary Computation, Volume 44, Pages 480-495, 2019
Management and mission planning over a swarm of unmanned aerial vehicle (UAV) remains to date as a challenging research trend in what regards to this particular type of aircrafts. These vehicles are controlled by a number of ground control station (G
Externí odkaz:
http://arxiv.org/abs/2402.18749
Publikováno v:
Expert Systems with Applications, Volume 160, 2020, 113708
Over the last decade, Unmanned Aerial Vehicles (UAVs) have been extensively used in many commercial applications due to their manageability and risk avoidance. One of the main problems considered is the Mission Planning for multiple UAVs, where a sol
Externí odkaz:
http://arxiv.org/abs/2402.18743
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing 10, 2467-2484, 2019
Over the last decade, developments in unmanned aerial vehicles (UAVs) has greatly increased, and they are being used in many fields including surveillance, crisis management or automated mission planning. This last field implies the search of plans f
Externí odkaz:
http://arxiv.org/abs/2402.06568
Publikováno v:
Soft Computing 21, 4883-4900, 2017
Due to recent booming of UAVs technologies, these are being used in many fields involving complex tasks. Some of them involve a high risk to the vehicle driver, such as fire monitoring and rescue tasks, which make UAVs excellent for avoiding human ri
Externí odkaz:
http://arxiv.org/abs/2402.06504
Real-world and complex problems have usually many objective functions that have to be optimized all at once. Over the last decades, Multi-Objective Evolutionary Algorithms (MOEAs) are designed to solve this kind of problems. Nevertheless, some proble
Externí odkaz:
http://arxiv.org/abs/2002.08867
Autor:
Guedan‐Pecker, Fernando1 (AUTHOR), Ramirez‐Atencia, Cristian2 (AUTHOR) cristian.ramirez@upm.es
Publikováno v:
Expert Systems. Aug2024, Vol. 41 Issue 8, p1-30. 30p.
Publikováno v:
In Expert Systems With Applications 1 December 2020 160
Weighted strategies to guide a multi-objective evolutionary algorithm for multi-UAV mission planning
Publikováno v:
In Swarm and Evolutionary Computation February 2019 44:480-495
Autor:
Kim, Daria, Alber, Maximilian, Kwok, Man Wai, MitroviĆ, Jelena, Ramirez-Atencia, Cristian, PÉrez, JesÚs Alberto RodrÍguez, Zille, Heiner
Publikováno v:
GRUR International: Journal of European & International IP Law; Apr2022, Vol. 71 Issue 4, p295-321, 27p