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ADMM-based problem decomposition scheme for vehicle routing problem with time windows

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  1. Cheng, Xiangchao & Xin, Jianbin & Chu, Chengbin & Wang, Yihui & D’Ariano, Andrea, 2026. "Learning-based fast alternating direction method of multipliers for multi-agent path finding using temporary variable-fixing," European Journal of Operational Research, Elsevier, vol. 334(1), pages 96-110.
  2. Zhang, Chenhao & Yong, Rui & Jiang, Xia & Zhang, Yibei & Song, Maocan & Cheng, Lin, 2025. "Benders decomposition for charging station location-routing problem with time-dependent travel times: a space-time-electricity network perspective," Energy, Elsevier, vol. 333(C).
  3. Cao, Zhen & Feng, Tao & Sun, Qinghe & Wang, Shuaian, 2026. "An ADMM-based decomposition approach for flexible blending in port operations," Transportation Research Part B: Methodological, Elsevier, vol. 210(C).
  4. Jin, Ziliang & Ma, Dining & Li, Peixuan & Li, Yuanbo & Zhang, Lianmin, 2025. "Managing shared electric micromobility systems: Allocation planning and battery swapping," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 198(C).
  5. Wang, Entai & Yang, Lixing & Yin, Jiateng & Zhang, Jinlei & Gao, Ziyou, 2024. "Passenger-oriented rolling stock scheduling in the metro system with multiple depots: Network flow based approaches," Transportation Research Part B: Methodological, Elsevier, vol. 180(C).
  6. Zhang, Yongxiang & Peng, Qiyuan & Yao, Yu & Zhang, Xin & Zhou, Xuesong, 2019. "Solving cyclic train timetabling problem through model reformulation: Extended time-space network construct and Alternating Direction Method of Multipliers methods," Transportation Research Part B: Methodological, Elsevier, vol. 128(C), pages 344-379.
  7. Lu, Jiawei & Nie, Qinghui & Mahmoudi, Monirehalsadat & Ou, Jishun & Li, Chongnan & Zhou, Xuesong Simon, 2022. "Rich arc routing problem in city logistics: Models and solution algorithms using a fluid queue-based time-dependent travel time representation," Transportation Research Part B: Methodological, Elsevier, vol. 166(C), pages 143-182.
  8. Feng, Tao & Lusby, Richard M. & Zhang, Yongxiang & Tao, Siyu & Zhang, Bojian & Peng, Qiyuan, 2024. "A branch-and-price algorithm for integrating urban rail crew scheduling and rostering problems," Transportation Research Part B: Methodological, Elsevier, vol. 183(C).
  9. Niu, Jiaxin & Qiao, Ke & Zhao, Peng, 2025. "Reliability improvement of rolling stock planning with maintenance requirements for high-speed railway," Reliability Engineering and System Safety, Elsevier, vol. 259(C).
  10. Zhen, Lu & Baldacci, Roberto & Tan, Zheyi & Wang, Shuaian & Lyu, Junyan, 2022. "Scheduling heterogeneous delivery tasks on a mixed logistics platform," European Journal of Operational Research, Elsevier, vol. 298(2), pages 680-698.
  11. Wu, Xin & Wang, Xinyu & Kim, Taehooie & Saleh, Khaled & Fu, Huiling & Xiong, Chenfeng, 2025. "Simultaneous estimation of induced, diverted, and ex-post demand for railway passengers: an interpretable machine learning framework based on constrained computational graphs," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 202(C).
  12. Jiang, Jianlin & Zhang, Sijia & Tang, Yucong & Guo, Yuzhen & Wu, Cheng-Lung, 2025. "ADMM-based augmented Lagrangian methods for robust aircraft recovery problem considering connection time, resource capacity and maintenance flexibility," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 201(C).
  13. Zhang, Yongxiang & Peng, Qiyuan & Lu, Gongyuan & Zhong, Qingwei & Yan, Xu & Zhou, Xuesong, 2022. "Integrated line planning and train timetabling through price-based cross-resolution feedback mechanism," Transportation Research Part B: Methodological, Elsevier, vol. 155(C), pages 240-277.
  14. Zhan, Shuguang & Wong, S.C. & Shang, Pan & Peng, Qiyuan & Xie, Jiemin & Lo, S.M., 2021. "Integrated railway timetable rescheduling and dynamic passenger routing during a complete blockage," Transportation Research Part B: Methodological, Elsevier, vol. 143(C), pages 86-123.
  15. Zhao, Wei & Liao, Qi & Qiu, Rui & Liu, Chunying & Xu, Ning & Yu, Xiao & Liang, Yongtu, 2024. "Pipe sharing: A bilevel optimization model for the optimal capacity allocation of natural gas network," Applied Energy, Elsevier, vol. 359(C).
  16. Jiang, Yangsheng & Huangfu, Junjie & Xiao, Guosheng & Zhang, Yongxiang & Yao, Zhihong, 2025. "Energy-efficient trajectory design of connected automated vehicles platoon: A unified modeling approach using space-time-speed grid networks," Energy, Elsevier, vol. 314(C).
  17. Liu, Yating & Wang, Ziyulong & Cats, Oded & Pei, Xin & Shang, Pan, 2026. "Semi-flexible transit service optimization considering scenario-based demand fluctuations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 206(C).
  18. Yang, Senyan & Ning, Lianju & Shang, Pan & (Carol) Tong, Lu, 2020. "Augmented Lagrangian relaxation approach for logistics vehicle routing problem with mixed backhauls and time windows," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 135(C).
  19. Pan Shang & Yu Yao & Liya Yang & Lingyun Meng & Pengli Mo, 2021. "Integrated Model for Timetabling and Circulation Planning on an Urban Rail Transit Line: a Coupled Network-Based Flow Formulation," Networks and Spatial Economics, Springer, vol. 21(2), pages 331-364, June.
  20. Li, Shukai & Liu, Ronghui & Gao, Ziyou & Yang, Lixing, 2021. "Integrated train dwell time regulation and train speed profile generation for automatic train operations on high-density metro lines: A distributed optimal control method," Transportation Research Part B: Methodological, Elsevier, vol. 148(C), pages 82-105.
  21. Chi, Jushang & He, Shiwei & Zhang, Yongxiang, 2024. "Improved ADMM-based approach for optimizing intercity express transportation networks: A novel dual decomposition strategy with partial retention of coupling constraints," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 192(C).
  22. Hamed Jahani & Richa Jain & Dmitry Ivanov, 2026. "Data science and big data analytics: a systematic review of methodologies used in the supply chain and logistics research," Annals of Operations Research, Springer, vol. 359(2), pages 1297-1354, April.
  23. Yao, Rui & Bekhor, Shlomo, 2023. "A general equilibrium model for multi-passenger ridesharing systems with stable matching," Transportation Research Part B: Methodological, Elsevier, vol. 175(C).
  24. Wang, Hui & Li, Feng & Jia, Bin & Gao, Ziyou & Liu, Jialin & Zhang, Hongliang & Song, Dongdong, 2024. "Enhancing the evacuation efficiency through the two-step optimization of train timetable and response vehicles during metro disruptions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 188(C).
  25. Pardis Seyedi & Michael W. Carter & Kourosh Eshghi, 2025. "Central intake optimization and decentralized decomposition for appointment scheduling and sequencing," Flexible Services and Manufacturing Journal, Springer, vol. 37(1), pages 208-253, March.
  26. Xiu, Cong & Pan, Jinyi & D’Ariano, Andrea & Zhan, Shuguang & Tessitore, Marta Leonina & Peng, Qiyuan, 2025. "Integrated train rescheduling and passenger reassignment for disrupted high-speed railway networks: A hierarchical Benders decomposition and column generation approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 200(C).
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