Efficient deployment and mission timing of autonomous underwater vehicles in large-scale operations MahmoudZadeh, Somaiyeh 2019, Efficient deployment and mission timing of autonomous underwater vehicles in large-scale operations, in ADMA 2019 : Proceedings of the Advanced Data Mining and Applications 15th International Conference, Dalian, China, Springer, Cham, Switzerland, pp. 792-804, doi: 10.1007/978-3-030-35231-8_58. Attached Files Name Description MIMEType Size Downloads Title Efficient deployment and mission timing of autonomous underwater vehicles in large-scale operations Author(s) MahmoudZadeh, Somaiyeh orcid.org/0000-0002-9733-1732 Conference name Advanced Data Mining and Applications. International Conference (15th : 201 : Dalian, China) : Conference location Dalian, China Conference dates 2019/11/21 - 2019/11/23 Title of proceedings ADMA 2019 : Proceedings of the Advanced Data Mining and Applications 15th International Conference, Dalian, China Editor(s) Li, J. Wang, S. Qin, S. Li, X. Wang, S. Publication date 2019 Series Lecture notes in computer science Start page 792 End page 804 Total pages 13 Publisher Springer Place of publication Cham, Switzerland Keyword(s) Autonomy Firefly Optimization Algorithm Local path planning Mission routing Mission time management ISBN 9783030352301 9783030352318 ISSN 0302-9743 1611-3349 Language eng DOI 10.1007/978-3-030-35231-8_58 Indigenous content off Field of Research 08 Information and Computing Sciences HERDC Research category E1 Full written paper - refereed Persistent URL http://hdl.handle.net/10536/DRO/DU:30133353 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 02 Jan 2020, 12:14:43 EST Fri, 03 Jan 2020, 04:02:13 EST Fri, 03 Jan 2020, 05:04:53 EST Fri, 21 Feb 2020, 11:29:33 EST Fri, 21 Feb 2020, 11:33:21 EST Fri, 21 Feb 2020, 11:34:11 EST Sat, 09 Jan 2021, 01:38:04 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 90 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Thu, 02 Jan 2020, 12:14:43 EST

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