Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/60155
DC FieldValueLanguage
dc.contributor.authorLucas, Carlosen_US
dc.contributor.authorHernández-Sosa, Danielen_US
dc.contributor.authorGreiner, Daviden_US
dc.contributor.authorZamuda, Alešen_US
dc.contributor.authorCaldeira, Ruien_US
dc.date.accessioned2020-01-14T23:03:18Z-
dc.date.available2020-01-14T23:03:18Z-
dc.date.issued2019en_US
dc.identifier.issn1424-8220en_US
dc.identifier.otherScopus-
dc.identifier.otherWOS-
dc.identifier.urihttp://hdl.handle.net/10553/60155-
dc.description.abstractUnderwater gliders are energy-efficient vehicles that rely on changes in buoyancy in order to convert up and down movement into forward displacement. These vehicles are conceived as multi-sensor platforms, and can be used to collect ocean data for long periods in wide range areas. This endurance is achieved at the cost of low speed, which requires extensive planning to ensure vehicle safety and mission success, particularly when dealing with strong ocean currents. As gliders are often involved on missions that pursue multiple objectives (track events, reach a target point, avoid obstacles, sample specified areas, save energy), path planning requires a way to deal with several constraints at the same time; this makes glider path planning a multi-objective (MO) optimization problem. In this work, we analyse the usage of the non-dominated sorting genetic algorithm II (NSGA-II) to tackle a MO glider path planning application on a complex environment integrating 3D and time varying ocean currents. Multiple experiments using a glider kinematic simulator coupled with NSGA-II, combining different control parameters were carried out, to find the best parameter configuration that provided suitable paths for the desired mission. Ultimately, the system described in this work was able to optimize multi-objective trajectories, providing non dominated solutions. Such a planning tool could be of great interest in real mission planning, to assist glider pilots in selecting the most convenient paths for the vehicle, taking into account ocean forecasts and particular characteristics of the deployment location.en_US
dc.languageengen_US
dc.relation.ispartofSensorsen_US
dc.sourceSensors [ISSN 1424-8220],v. 19 (24), 5506en_US
dc.subject331913 Vehículos submarinosen_US
dc.subject120304 Inteligencia artificialen_US
dc.subject120326 Simulaciónen_US
dc.subject.otherMulti-objective optimizationen_US
dc.subject.otherUnderwater glideren_US
dc.subject.otherPath planningen_US
dc.subject.otherGenetic algorithmen_US
dc.subject.otherNSGA-IIen_US
dc.titleAn approach to multi-objective path planning optimization for underwater glidersen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.typeArticleen_US
dc.identifier.doi10.3390/s19245506en_US
dc.identifier.scopus85076855790-
dc.contributor.authorscopusid57194275589-
dc.contributor.authorscopusid6507124168-
dc.contributor.authorscopusid56268125800-
dc.contributor.authorscopusid23975217400-
dc.contributor.authorscopusid7003731164-
dc.identifier.issue24-
dc.relation.volume19en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.identifier.wos000517961400169-
dc.contributor.daisngid7272143-
dc.contributor.daisngid35042749-
dc.contributor.daisngid35054931-
dc.contributor.daisngid35053393-
dc.contributor.daisngid2042372-
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Lucas, C-
dc.contributor.wosstandardWOS:Hernandez-Sosa, D-
dc.contributor.wosstandardWOS:Greiner, D-
dc.contributor.wosstandardWOS:Zamuda, A-
dc.contributor.wosstandardWOS:Caldeira, R-
dc.identifier.ulpgces
dc.description.sjr0,653
dc.description.jcr3,275
dc.description.sjrqQ1
dc.description.jcrqQ1
dc.description.scieSCIE
item.fulltextCon texto completo-
item.grantfulltextopen-
crisitem.author.deptGIR SIANI: Inteligencia Artificial, Robótica y Oceanografía Computacional-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptGIR SIANI: Computación Evolutiva y Aplicaciones-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Ingeniería Civil-
crisitem.author.orcid0000-0003-3022-7698-
crisitem.author.orcid0000-0002-4132-7144-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.fullNameHernández Sosa, José Daniel-
crisitem.author.fullNameGreiner Sánchez, David Juan-
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