Autonomous Underwater Vehicle Motion Planning in Realistic Ocean Environments Using Penalty Function-Particle Swarm Optimization Technique
Author:
Publisher
Springer Science and Business Media LLC
Subject
Mechanical Engineering,Mechanics of Materials,Computational Mechanics
Link
https://link.springer.com/content/pdf/10.1007/s40997-023-00697-z.pdf
Reference63 articles.
1. Aghababa MP (2012) 3D path planning for underwater vehicles using five evolutionary optimization algorithms avoiding static and energetic obstacles. Appl Ocean Res 38:48–62. https://doi.org/10.1016/j.apor.2012.06.002
2. Albarakati S, Limaa RM, Giraldia L, Hoteib I, Knio O (2020) Optimal 3D time-energy trajectory planning for AUVs using ocean general circulation models. Ocean Eng. https://doi.org/10.1016/j.oceaneng.2020.108057
3. Almeida BSG, Leite VC (2019) Particle swarm optimization: a powerful technique for solving engineering problems. https://www.intechopen.com/predownload/69586.
4. Ataei M, Yousefi-Koma A (2014) Development of a three-dimensional guidance system for long-range maneuvering of a miniature autonomous underwater vehicle. China Ocean Eng 28:843–856. https://doi.org/10.1007/s13344-014-0065-9
5. Bogue R (2020) Robots in the offshore oil and gas industries: a review of recent developments. Ind Robot 47(1):1–6. https://doi.org/10.1108/IR-10-2019-0207
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