Aviso: para depositar documentos, por favor, inicia sesión e identifícate con tu cuenta de correo institucional de la UCM con el botón MI CUENTA UCM. No emplees la opción AUTENTICACIÓN CON CONTRASEÑA
 

Multiobjective path planner for UAVs based on genetic algorithms

dc.book.titleComputational Intelligence in Decision and Control
dc.contributor.authorCruz García, Jesús Manuel de la
dc.contributor.authorBesada Portas, Eva
dc.contributor.authorAndrés Toro, Bonifacio de
dc.contributor.authorTorre Cubillo, Luis de la
dc.date.accessioned2023-06-20T13:39:32Z
dc.date.available2023-06-20T13:39:32Z
dc.date.issued2008
dc.description© World Scientific Publ. This research is funded by the projects “COSICOLOGI” S-0505/DPI-0391 (Community of Madird), “Planning, simulation and control for cooperation of multiple UAVs and MAVs” DPI2006-15661-C02-01 (Spanish Ministry of Education and Science) and by EADS 353/2005.
dc.description.abstractThis paper presents a path planner for Unmanned Air Vehicles (UAVs) based on Genetic Algorithms (GA) that obtains a feasible and optimal 3-D path for the UAV. It uses 9 different objective values which are calculated with a realistic model of the UAV and the environment and which are structured with 3 levels of priorities. Our planner works globally offline as well as locally online, which means that the algorithm can recalculate parts of the generated path in order to avoid unexpected risks. Finally, the effectiveness of the solutions given by this planner has been successfully tested against a simulator that contains the complete model of the UAV and the environment.
dc.description.departmentSección Deptal. de Arquitectura de Computadores y Automática (Físicas)
dc.description.facultyFac. de Ciencias Físicas
dc.description.refereedTRUE
dc.description.sponsorshipCOSICOLOGI Community of Madrid
dc.description.sponsorshipSpanish Ministry of Education and Science
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/21845
dc.identifier.doi10.1142/9789812799470_0163
dc.identifier.isbn978-981-279-946-3
dc.identifier.officialurlhttp://dx.doi.org/10.1142/9789812799470_0163
dc.identifier.relatedurlhttps://www.worldscientific.com
dc.identifier.urihttps://hdl.handle.net/20.500.14352/53254
dc.language.isoeng
dc.page.final1002
dc.page.initial997
dc.publisherWorld Scientific Publ Co Pte Ltd
dc.relation.projectIDS-0505/DPI-0391
dc.relation.projectIDDPI2006-15661-C02-01
dc.relation.projectIDEADS 353/2005
dc.rights.accessRightsopen access
dc.subject.cdu004
dc.subject.keywordGenetic Algorithms
dc.subject.keywordMultiobjective Planning
dc.subject.keywordUAVs
dc.subject.ucmInteligencia artificial (Informática)
dc.subject.ucmInformática (Informática)
dc.subject.unesco1203.04 Inteligencia Artificial
dc.subject.unesco1203.17 Informática
dc.titleMultiobjective path planner for UAVs based on genetic algorithms
dc.typebook part
dc.volume.number1
dspace.entity.typePublication
relation.isAuthorOfPublication0acc96fe-6132-45c5-ad71-299c9dcb6682
relation.isAuthorOfPublication.latestForDiscovery0acc96fe-6132-45c5-ad71-299c9dcb6682

Download

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
besadaportas07.pdf
Size:
262.98 KB
Format:
Adobe Portable Document Format