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~isPartOf:"Omega : the international journal of management science"
~person:"Yang, Lixing"
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Railway transport
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Train scheduling
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Yang, Lixing
Sawik, Tadeusz
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Chen, Xu
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Deng, Sijing
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Dominguez, Roberto
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Framinan, Jose M.
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Saldanha-da-Gama, Francisco
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Stewart, Theodor J.
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Teunter, Ruud H.
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Omega : the international journal of management science
European journal of operational research : EJOR
4
Transportation research / E : an international journal
3
Computers & operations research : and their applications to problems of world concern ; an international journal
2
INFORMS journal on computing : JOC ; charting new directions in operations research and computer science ; a journal of the Institute for Operations Research and the Management Sciences
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International journal of production economics
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International journal of production research
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International transactions in operational research : a journal of the International Federation of Operational Research Societies
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ECONIS (ZBW)
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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:
2
Collaborative optimization for metro train scheduling and train connections combined with passenger flow control strategy
Liu, Renming
;
Li, Shukai
;
Yang, Lixing
- In:
Omega : the international journal of management science
90
(
2020
),
pp. 1-18
Persistent link: https://www.econbiz.de/10012120783
Saved in:
3
Optimizing trains movement on a railway network
Yang, Lixing
;
Li, KePing
;
Gao, Ziyou
;
Li, Xiang
- In:
Omega : the international journal of management science
40
(
2012
)
5
,
pp. 619-633
Persistent link: https://www.econbiz.de/10009511169
Saved in:
4
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
Saved in:
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