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A reinforcement learning-based evolutionary algorithm for the unmanned aerial vehicles maritime search and rescue path planning problem considering multiple rescue centers

Crossref DOI link: https://doi.org/10.1007/s12293-024-00420-8

Published Online: 2024-08-12

Published Print: 2024-09

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Zhan, Haowen

Zhang, Yue

Huang, Jingbo

Song, Yanjie

Xing, Lining

Wu, Jie

Gao, Zengyun
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (723B2002)

Science and Technology Innovation Team of Shaanxi Province (2023-CX-TD-07)

Natural Science Foundation Project of Hunan Province (2024JJ5109)

Key R&D Program Projects in Shaanxi Province (2024GH-ZDXM-48)
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Text and Data Mining valid from 2024-08-12

Version of Record valid from 2024-08-12
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Article History

Received: 28 April 2024

Accepted: 24 July 2024

First Online: 12 August 2024

Declarations

:

: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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