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Multi-sequence discrete recursive descent optimizer: a novel optimization algorithm based on quasi-Newton directions and imprecise search step lengths

Crossref DOI link: https://doi.org/10.1007/s10462-025-11384-7

Published Online: 2025-10-28

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

Authors

Huang, Hanqiao

Du, Bo

Zhang, Bo

Zhou, Huan

Hu, Gang
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (62176214, 62101590)

National Key Laboratory Foundation of Unmanned Aerial Vehicle Technology (WR202402)
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Text and Data Mining valid from 2025-10-28

Version of Record valid from 2025-10-28
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Article History

Received: 29 August 2024

Accepted: 31 August 2025

First Online: 28 October 2025

Declarations

:

: The authors declare that there is no conflict of interests regarding the publication of this paper.

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