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An Improved DSA-Based Approach for Multi-AUV Cooperative Search
Joint Authors
Luo, Chengming
Shi, Pengfei
Yang, Liu
Ni, Jianjun
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-12-02
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Multi-AUV cooperative target search problem in unknown 3D underwater environment is not only a research hot spot but also a challenging task.
To complete this task, each autonomous underwater vehicle (AUV) needs to move quickly without collision and cooperate with other AUVs to find the target.
In this paper, an improved dolphin swarm algorithm- (DSA-) based approach is proposed, and the search problem is divided into three stages, namely, random cruise, dynamic alliance, and team search.
In the proposed approach, the Levy flight method is used to provide a random walk for AUV to detect the target information in the random cruise stage.
Then the self-organizing map (SOM) neural network is used to build dynamic alliances in real time.
Finally, an improved DSA algorithm is presented to realize the team search.
Furthermore, some simulations are conducted, and the results show that the proposed approach is capable of guiding multi-AUVs to achieve the target search task in unknown 3D underwater environment efficiently.
American Psychological Association (APA)
Ni, Jianjun& Yang, Liu& Shi, Pengfei& Luo, Chengming. 2018. An Improved DSA-Based Approach for Multi-AUV Cooperative Search. Computational Intelligence and Neuroscience،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1130632
Modern Language Association (MLA)
Ni, Jianjun…[et al.]. An Improved DSA-Based Approach for Multi-AUV Cooperative Search. Computational Intelligence and Neuroscience No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1130632
American Medical Association (AMA)
Ni, Jianjun& Yang, Liu& Shi, Pengfei& Luo, Chengming. An Improved DSA-Based Approach for Multi-AUV Cooperative Search. Computational Intelligence and Neuroscience. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1130632
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1130632