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~person:"Gao, Liang"
~person:"Pezzella, F."
~subject:"Evolutionärer Algorithmus"
~subject:"Heuristik"
~subject:"Just in Time"
~subject:"Production control"
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Search: subject_exact:"Genetic algorithm"
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Evolutionärer Algorithmus
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Just in Time
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Scheduling problem
12
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12
Evolutionary algorithm
11
Theorie
7
Theory
7
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genetic algorithm
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Assembly-line production
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Distributed assembly permutation flowshop scheduling problem
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Genetic algorithm
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Gao, Liang
Pezzella, F.
Resende, Mauricio G. C.
22
Ruiz, Rubén
17
Chan, Felix Tung Sun
15
Tiwari, Manoj Kumar
14
Gen, Mitsuo
13
Aickelin, Uwe
12
Ganesh, K.
12
Gonçalves, José Fernando
12
Deb, Kalyanmoy
11
Framinan, Jose M.
11
Parthiban, P.
10
Vidal, Thibaut
10
Brabazon, Anthony
9
Chung, Sai Ho
9
O'Neill, Michael
9
Pan, Quan-ke
9
Zandieh, M.
9
Niaki, Seyed Taghi Akhavan
8
Wang, Ling
8
Azadeh, Mohammad Ali
7
Buer, Tobias
7
Calvete, Herminia I.
7
Chen, Huaping
7
Chen, Shu-Heng
7
Dekker, Rommert
7
Dhanalakshmi, R.
7
Farahani, Reza Zanjirani
7
Fernandez-Viagas, Victor
7
Galé, Carmen
7
Huang, George Q.
7
Karathanasopoulos, Andreas
7
Laporte, Gilbert
7
Liu, Ming
7
Naderi, Bahman
7
Pankratz, Giselher
7
Rabbani, Masoud
7
Sermpinis, Georgios
7
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7
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International journal of production research
6
Computers & operations research : and their applications to problems of world concern ; an international journal
3
European journal of operational research : EJOR
1
International journal of production economics
1
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ECONIS (ZBW)
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1
An effective memetic algorithm for the distributed flowshop scheduling problem with an assemble machine
Huang, Ying-Ying
;
Pan, Quan Ke
;
Gao, Liang
- In:
International journal of production research
61
(
2023
)
6
,
pp. 1755-1770
Persistent link: https://www.econbiz.de/10014230481
Saved in:
2
A discrete artificial bee colony algorithm for distributed hybrid flowshop scheduling problem with sequence-dependent setup times
Li, Yingli
;
Li, Xinyu
;
Gao, Liang
;
Zhang, Biao
;
Pan, Quan Ke
- In:
International journal of production research
59
(
2021
)
13
,
pp. 3880-3899
Persistent link: https://www.econbiz.de/10012589253
Saved in:
3
A modified colonial competitive algorithm for the mixed-model U-line balancing and sequencing problem
Lian, Kunlei
;
Zhang, Chaoyong
;
Gao, Liang
;
Shao, Xinyu
- In:
International journal of production research
50
(
2012
)
18
,
pp. 5117-5131
Persistent link: https://www.econbiz.de/10009667393
Saved in:
4
An effective hybrid genetic algorithm and tabu search for flexible job shop scheduling problem
Li, Xinyu
;
Gao, Liang
- In:
International journal of production economics
174
(
2016
),
pp. 93-110
Persistent link: https://www.econbiz.de/10011448564
Saved in:
5
Optimisation of the reverse scheduling problem by a modified genetic algorithm
Mou, Jianhui
;
Gao, Liang
;
Li, Xinyu
;
Lu, Chao
;
Hu, Hongjie
- In:
International journal of production research
53
(
2015
)
23/24
,
pp. 6980-6993
Persistent link: https://www.econbiz.de/10011431567
Saved in:
6
A hybrid genetic algorithm and tabu search for multi-objective dynamic job shop scheduling problem
Zhang, Liping
;
Gao, Liang
;
Li, Xinyu
- In:
International journal of production research
51
(
2013
)
12
,
pp. 3516-3531
Persistent link: https://www.econbiz.de/10009775801
Saved in:
7
An adaptive genetic algorithm for large-size open stack problem
De Giovanni, Luigi
;
Massi, G.
;
Pezzella, F.
- In:
International journal of production research
51
(
2013
)
3
,
pp. 682-697
Persistent link: https://www.econbiz.de/10009689281
Saved in:
8
Mathematical modeling and evolutionary algorithm-based approach for integrated process planning and scheduling
Li, Xinyu
;
Gao, Liang
;
Shao, Xinyu
;
Zhang, Chaoyong
; …
- In:
Computers & operations research : and their …
37
(
2010
)
4
,
pp. 656-667
Persistent link: https://www.econbiz.de/10003944419
Saved in:
9
An improved genetic algorithm for the distributed and flexible job-shop scheduling problem
Giovanni, Luigi de
;
Pezzella, F.
- In:
European journal of operational research : EJOR
200
(
2009/10
)
2
,
pp. 395-408
Persistent link: https://www.econbiz.de/10003897071
Saved in:
10
Integration of process planning and scheduling : a modified genetic algorithm-based approach
Shao, Xinyu
;
Li, Xinyu
;
Gao, Liang
;
Zhang, Chaoyong
- In:
Computers & operations research : and their …
36
(
2009
)
6
,
pp. 2082-2096
Persistent link: https://www.econbiz.de/10003828425
Saved in:
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