Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/60155
Title: An approach to multi-objective path planning optimization for underwater gliders
Authors: Lucas, Carlos
Hernández-Sosa, Daniel 
Greiner, David 
Zamuda, Aleš
Caldeira, Rui
UNESCO Clasification: 331913 Vehículos submarinos
120304 Inteligencia artificial
120326 Simulación
Keywords: Multi-objective optimization
Underwater glider
Path planning
Genetic algorithm
NSGA-II
Issue Date: 2019
Journal: Sensors 
Abstract: Underwater 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.
URI: http://hdl.handle.net/10553/60155
ISSN: 1424-8220
DOI: 10.3390/s19245506
Source: Sensors [ISSN 1424-8220],v. 19 (24), 5506
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