Path planning in multiple-AUV systems for difficult target traveling missions: a hybrid metaheuristic approach

Full text for this resource is not available from the Research Repository.

Yu, Xue ORCID: 0000-0002-0726-3407, Chen, Wei-Neng ORCID: 0000-0003-0843-5802, Hu, Xiao-Min ORCID: 0000-0001-5746-4242, Gu, Tianlong, Yuan, Huaqing, Zhou, Yuren ORCID: 0000-0002-0497-0835 and Zhang, Jun ORCID: 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

Dimensions Badge

Altmetric Badge

Item type Article
URI https://vuir.vu.edu.au/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

Search Google Scholar

Repository staff login