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~person:"Wang, Ling"
~subject:"Scheduling problem"
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Search: subject:"Evolutionary algorithm"
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Scheduling problem
Durchlaufzeit
8
Evolutionary algorithm
8
Evolutionärer Algorithmus
8
Lead time
8
Scheduling-Verfahren
8
Algorithm
5
Algorithmus
5
Heuristics
4
Heuristik
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Theory
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2
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Mathematische Optimierung
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Multi-criteria analysis
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Artificial bee colony
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Business model
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Energy-efficient
1
Geschäftsmodell
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Hybrid flowshop
1
Industrie
1
Just in Time
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Just in time
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Makespan
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Manufacturing industries
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Metaheuristics
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Q-learning mechanism
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bi-objective
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brain storm optimisation
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clustering mechanism
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decoding method
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decomposition
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distributed two-stage assembly flow-shop scheduling
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dynamic mating strategy
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energy-efficient scheduling
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local intensification
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makespan
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Wang, Ling
Ruiz, Rubén
17
Chan, Felix Tung Sun
12
Framinan, Jose M.
11
Gen, Mitsuo
10
Resende, Mauricio G. C.
10
Chung, Sai Ho
8
Gao, Liang
8
Pan, Quan-ke
8
Zandieh, M.
8
Chen, Huaping
7
Fernandez-Viagas, Victor
7
Naderi, Bahman
7
Aickelin, Uwe
6
Chang, Pei-chann
6
Gonçalves, José Fernando
6
Huang, George Q.
6
Li, Xinyu
6
Pan, Quan Ke
6
Tiwari, Manoj Kumar
6
Vanhoucke, Mario
6
Ying, Kuo-ching
6
Zhang, Chaoyong
6
Cheng, T. C. E.
5
Lin, Shih Wei
5
Nearchou, Andreas C.
5
Tasgetiren, M. Fatih
5
Valente, Jorge M. S.
5
Wu, Cheng
5
Yalaoui, Farouk
5
Allahverdi, Ali
4
Buscher, Udo
4
Chien, Chen-Fu
4
Deng, Qianwang
4
Essam, Daryl
4
Gendreau, Michel
4
Ghosh, Diptesh
4
Gong, Guiliang
4
Gu, Xingsheng
4
Jawahar, N.
4
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International journal of production research
4
Computers & operations research : and their applications to problems of world concern ; an international journal
3
Omega : the international journal of management science
1
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ECONIS (ZBW)
8
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1
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
Saved in:
2
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:
3
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:
4
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
Saved in:
5
A novel discrete artificial bee colony algorithm for the hybrid flowshop scheduling problem with makespan minimisation
Pan, Quan-ke
;
Wang, Ling
;
Li, Jun-qing
;
Duan, Jun-hua
- In:
Omega : the international journal of management science
45
(
2014
),
pp. 42-56
Persistent link: https://www.econbiz.de/10010258692
Saved in:
6
A novel hybrid discrete differential evolution algorithm for blocking flow shop scheduling problems
Wang, Ling
;
Pan, Quan-ke
;
Suganthan, P. N.
;
Wang, Wen-hong
- In:
Computers & operations research : and their …
37
(
2010
)
3
,
pp. 509-520
Persistent link: https://www.econbiz.de/10003944300
Saved in:
7
A novel differential evolution algorithm for bi-criteria no-wait flow shop scheduling problems
Pan, Quan-ke
;
Wang, Ling
;
Qian, Bin
- In:
Computers & operations research : and their …
36
(
2009
)
8
,
pp. 2498-2511
Persistent link: https://www.econbiz.de/10003828650
Saved in:
8
An effective hybrid PSO-based algorithm for flow shop scheduling with limited buffers
Liu, Bo
;
Wang, Ling
;
Jin, Yi-Hui
- In:
Computers & operations research : and their …
35
(
2008
)
9
,
pp. 2791-2806
Persistent link: https://www.econbiz.de/10003673164
Saved in:
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