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~person:"Albalate, Daniel"
~person:"Feddersen, Arne"
~person:"Liu, Lihua"
~person:"Yang, Lixing"
~subject:"Schienenverkehr"
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Albalate, Daniel
Feddersen, Arne
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Omega : the international journal of management science
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ECONIS (ZBW)
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1
Optimization of train schedule with uncertain maintenance plans in high-speed railways : a stochastic programming approach
Zhang, Chuntian
;
Yin, Jiateng
;
Yang, Lixing
- In:
Omega : the international journal of management science
124
(
2024
),
pp. 1-19
Persistent link: https://www.econbiz.de/10014533513
Saved in:
2
Collaborative real-time optimization strategy for train rescheduling and track emergency maintenance of high-speed railway : a Lagrangian relaxation-based decomposition algorithm
Zhang, Huimin
;
Li, Shukai
;
Wang, Yihui
;
Yang, Lixing
; …
- In:
Omega : the international journal of management science
102
(
2021
),
pp. 1-21
Persistent link: https://www.econbiz.de/10012514520
Saved in:
3
A branch-and-price approach for trip sequence planning of high-speed train units
Gao, Yuan
;
Schmidt, Marie
;
Yang, Lixing
;
Gao, Ziyou
- In:
Omega : the international journal of management science
92
(
2020
),
pp. 1-16
Persistent link: https://www.econbiz.de/10012158191
Saved in:
4
Integrated optimization of train scheduling and maintenance planning on high-speed railway corridors
Zhang, Chuntian
;
Gao, Yuan
;
Yang, Lixing
;
Kumar, Uday
; …
- In:
Omega : the international journal of management science
87
(
2019
),
pp. 86-104
Persistent link: https://www.econbiz.de/10012063378
Saved in:
5
Three-stage optimization method for the problem of scheduling additional trains on a high-speed rail corridor
Gao, Yuan
;
Kroon, Leo G.
;
Yang, Lixing
;
Gao, Ziyou
- In:
Omega : the international journal of management science
80
(
2018
),
pp. 175-191
Persistent link: https://www.econbiz.de/10011895286
Saved in:
6
Collaborative optimization for train scheduling and train stop planning on high-speed railways
Yang, Lixing
;
Qin, Jianguo
;
Li, Shukai
;
Gao, Yuan
- In:
Omega : the international journal of management science
64
(
2016
),
pp. 57-76
Persistent link: https://www.econbiz.de/10011545041
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