Aircraft Routing and Crew Pairing Solutions: Robust Integrated Model Based on Multi-Agent Reinforcement Learning

Aircraft Routing and Crew Pairing Solutions: Robust Integrated Model Based on Multi-Agent Reinforcement Learning

Every year, airlines invest considerable resources in recovering from irregular operations caused by delays and disruptions to aircraft and crew. Consequently, the need to reschedule aircraft and crew to better address these problems has become pressing. The airline scheduling problem comprises two...

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Bibliographic Details
Main Authors: Chengjin Ding, Yuzhen Guo, Jianlin Jiang, Wenbin Wei, Weiwei Wu
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Aerospace
Subjects:
aircraft routing
crew pairing
reinforcement learning
robust integrated model
Online Access:https://www.mdpi.com/2226-4310/12/5/444
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