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Open AccessArticle

An Approach to Multi-Objective Path Planning Optimization for Underwater Gliders

1
Oceanic Observatory of Madeira, Agência Regional para o Desenvolvimento da Investigação Tecnologia e Inovação, Ed. Madeira Tecnopolo, 9020-105 Funchal, Madeira, Portugal
2
Instituto Universitario de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería (SIANI)-Universidad de Las Palmas de Gran Canaria, Campus de Tafira, 35017 Las Palmas de Gran Canaria, Spain
3
Faculty of Electrical Engineering and Computer Science, University of Maribor, Koroška cesta 46, 2000 Maribor, Slovenia
4
Dom Luiz Institute, Faculty of Sciences, University of Lisbon, 1749-016 Lisboa, Portugal
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(24), 5506; https://doi.org/10.3390/s19245506
Received: 30 October 2019 / Revised: 1 December 2019 / Accepted: 12 December 2019 / Published: 13 December 2019
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. View Full-Text
Keywords: multi-objective optimization; underwater glider; path planning; genetic algorithm; NSGA-II multi-objective optimization; underwater glider; path planning; genetic algorithm; NSGA-II
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Lucas, C.; Hernández-Sosa, D.; Greiner, D.; Zamuda, A.; Caldeira, R. An Approach to Multi-Objective Path Planning Optimization for Underwater Gliders. Sensors 2019, 19, 5506.

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