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~accessRights:"restricted"
~person:"Kopfer, Herbert"
~person:"Wang, Ling"
~source:"econis"
~subject:"Evolutionary algorithm"
~subject:"Vehicle routing problem"
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Evolutionary algorithm
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Kopfer, Herbert
Wang, Ling
Laporte, Gilbert
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Pan, Quan Ke
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International journal of production research
4
INFORMS journal on applied analytics
1
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ECONIS (ZBW)
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Meituan's real-time intelligent dispatching algorithms build the world's largest minute-level delivery network
Liang, Yile
;
Luo, Haocheng
;
Duan, Haining
;
Li, Donghui
; …
- In:
INFORMS journal on applied analytics
54
(
2024
)
1
,
pp. 84-101
Persistent link: https://www.econbiz.de/10014487123
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2
A reinforcement learning-driven brain storm optimisation algorithm for multi-objective energy-efficient distributed assembly no-wait flow shop
scheduling
problem
Zhao, Fuqing
;
Hu, Xiaotong
;
Wang, Ling
;
Xu, Tianpeng
; …
- In:
International journal of production research
61
(
2023
)
9
,
pp. 2854-2872
Persistent link: https://www.econbiz.de/10014323537
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3
An improved multi-objective evolutionary algorithm based on decomposition for energy-efficient permutation flow shop
scheduling
problem
with sequence-dependent setup time
Jiang, En-da
;
Wang, Ling
- In:
International journal of production research
57
(
2019
)
6
,
pp. 1756-1771
Persistent link: https://www.econbiz.de/10012183915
Saved in:
4
A competitive memetic algorithm for the distributed two-stage assembly flow-shop
scheduling
problem
Deng, Jin
;
Wang, Ling
;
Wang, Sheng-yao
;
Zheng, Xiao-long
- In:
International journal of production research
54
(
2016
)
11/12
,
pp. 3561-3577
Persistent link: https://www.econbiz.de/10011497564
Saved in:
5
A modified teaching-learning-based optimisation algorithm for bi-objective re-entrant hybrid flowshop scheduling
Shen, Jing-nan
;
Wang, Ling
;
Zheng, Huan-yu
- In:
International journal of production research
54
(
2016
)
11/12
,
pp. 3622-3639
Persistent link: https://www.econbiz.de/10011497622
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