Reinforcement Learning for Combinatorial Optimization of Train Timetable Rescheduling-Reference-Cited by-同舟云学术

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Reinforcement Learning for Combinatorial Optimization of Train Timetable Rescheduling

Published:2023-08-28 Issue: Volume: Page:689-695
ISSN:
Container-title:2023 IEEE Smart World Congress (SWC)
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Author:

Shi Qi¹,Dai Xuewu²,Cui Dongliang¹,Cheng Lijuan³

Affiliation:

1. Northeastern University,The State Key Laboratory of Synthetical Automation for Process Industries,Shenyang,China

2. Northumbria University,Faculty of Engineering and Environment,Newcastle Upon Tyne,UK,NE1 8ST

3. Purification Equipment Research Institute of CSIC,Handan,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10447020/10448518/10449236.pdf?arnumber=10449236

Reference13 articles.

1. A brief introduction to exact, approximation, and heuristic algorithms for solving hard combinatorial optimization problems

2. Modeling train movements through complex rail networks

3. A branch and bound algorithm for scheduling trains in a railway network

4. Dispatching and coordination in multi-area railway traffic management

5. Optimal inter-area coordination of train rescheduling decisions

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