MAML–SGD: a reliable airline rescheduling algorithm for small-sample learning based on MAML and SGD-Reference-Cited by-同舟云学术

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MAML–SGD: a reliable airline rescheduling algorithm for small-sample learning based on MAML and SGD

Published:2024-03-28 Issue:10 Volume:80 Page:14953-14977
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Shen Zhiyuan,Zhao Qinshuai,Liu Yiyang

Funder

Postgraduate Research & Practice Innovation Program of NUAA

National Natural Science Foundation of China - Civil Aviation Administration of China Joint Research Fund project

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11227-024-06014-y.pdf

Reference33 articles.

1. Findlay CC (1983) Optimal air fares and flight frequency and market results. J Transp Econ Policy 17(1):49–66

2. Teodorović DB (1983) Flight frequency determination. J Transp Eng 109:747–757

3. Jafari N, Zegordi SH (2010) The airline perturbation problem: considering disrupted passengers. Transp Plan Technol 33:203–220

4. Jafari N, Zegordi SH (2011) Simultaneous recovery model for aircraft and passengers. J Frankl Inst 348:1638–1655

5. Bai F (2010) Research on aircraft and crew rescheduling problems of irregular flight. Nanjing University of Aeronautics and Astronautics, Nanjing

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