Path planning in multiple-AUV systems for difficult target traveling missions: a hybrid metaheuristic approach
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Yu, Xue 
ORCID: https://orcid.org/0000-0002-0726-3407, Chen, Wei-Neng ORCID: https://orcid.org/0000-0003-0843-5802, Hu, Xiao-Min ORCID: https://orcid.org/0000-0001-5746-4242, Gu, Tianlong, Yuan, Huaqing, Zhou, Yuren ORCID: https://orcid.org/0000-0002-0497-0835 and Zhang, Jun ORCID: https://orcid.org/0000-0001-7835-9871
(2019)
Path planning in multiple-AUV systems for difficult target traveling missions: a hybrid metaheuristic approach.
IEEE Transactions on Cognitive and Developmental Systems, 12 (3).
pp. 561-574.
ISSN 2379-8920
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| Item type | Article |
| URI | https://vu-9.eprints-hosting.org/id/eprint/46359 |
| DOI | 10.1109/TCDS.2019.2944945 |
| Official URL | https://ieeexplore.ieee.org/document/8854320/ |
| Subjects | Current > FOR (2020) Classification > 4602 Artificial intelligence Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
| Keywords | autonomous underwater vehicles, AUVs, submarine, path planning, mission targets, shortest path faster algorithm, SPFA |
| Download/View statistics | View download statistics for this item |
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