Graph learning-assisted logic-based Benders decomposition for distributionally robust in-station train rescheduling under disruptions
arXiv:2611.07520v1 Announce Type: new Abstract: Uncertainty in resource reopening times complicates train holding and rerouting decisions when resource closures coincide with arrival delays and processing-time extensions. We develop a rolling-horizon distributionally robust…
AI Summary & Key Takeaways
- arXiv:2611.07520v1 Announce Type: new Abstract: Uncertainty in resource reopening times complicates train holding and rerouting decisions when resource closures coincide with arrival delays and processing-time extensions
- We develop a rolling-horizon distributionally robust…
Graph learning-assisted logic-based Benders decomposition for distributionally robust in-station train rescheduling under disruptions
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