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Computers & operations research : and their applications to problems of world concern ; an international journal
2
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Conservative allocation models for outbound containers in container terminals
Zhang, Canrong
;
Wu, Tao
;
Kim, Kap Hwan
;
Miao, Lixin
- In:
European journal of operational research : EJOR
238
(
2014
)
1
,
pp. 155-165
Persistent link: https://www.econbiz.de/10010398813
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2
Analytics branching and selection for the capacitated multi-item lot sizing problem with nonidentical machines
Wu, Tao
;
Liang, Zhe
;
Zhang, Canrong
- In:
INFORMS journal on computing : JOC
30
(
2018
)
2
,
pp. 236-258
Persistent link: https://www.econbiz.de/10011878236
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3
MIP models and a hybrid method for the capacitated air-cargo network planning and scheduling problems
Zhang, Canrong
;
Xie, Fanrui
;
Huang, Kun
;
Wu, Tao
;
Liang, Zhe
- In:
Transportation research / E : an international journal
103
(
2017
),
pp. 158-173
Persistent link: https://www.econbiz.de/10011733983
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4
A learning-based two-stage optimization method for customer order scheduling
Shi, Zhongshun
;
Ma, Hang
;
Ren, Meiheng
;
Wu, Tao
;
Yu, …
- In:
Computers & operations research : and their …
136
(
2021
),
pp. 1-18
Persistent link: https://www.econbiz.de/10012629598
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5
A branch-and-price algorithm for the integrated berth allocation and quay crane assignment problem
Xie, Fanrui
;
Wu, Tao
;
Zhang, Canrong
- In:
Transportation science : a journal of the Institute for …
53
(
2019
)
5
,
pp. 1427-1454
Persistent link: https://www.econbiz.de/10012108778
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6
Data-driven branching and selection for lot-sizing and scheduling problems with sequence-dependent setups and setup carryover
Zhang, Canrong
;
Zhang, Dandan
;
Wu, Tao
- In:
Computers & operations research : and their …
132
(
2021
),
pp. 1-16
Persistent link: https://www.econbiz.de/10012595698
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7
Decomposition algorithms for the robust unidirectional quay crane scheduling problems
Li, Yitian
;
Li, Xinyi
;
Zhang, Canrong
;
Wu, Tao
- In:
Computers & operations research : an international journal
167
(
2024
),
pp. 1-20
Persistent link: https://www.econbiz.de/10014566428
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