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~person:"Gao, Liang"
~person:"Pezzella, F."
~subject:"Genetic algorithm"
~subject:"Heuristik"
~subject:"Hybrid algorithm"
~subject:"Just in Time"
~subject:"Production control"
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Search: subject_exact:"Genetic algorithm"
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Genetic algorithm
Heuristik
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Just in Time
Production control
Scheduling problem
15
Scheduling-Verfahren
15
Evolutionary algorithm
14
Evolutionärer Algorithmus
14
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Multi-criteria analysis
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genetic algorithm
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Distributed assembly permutation flowshop scheduling problem
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Flexible manufacturing system
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Gao, Liang
Pezzella, F.
Resende, Mauricio G. C.
14
Ruiz, Rubén
13
Framinan, Jose M.
9
Gonçalves, José Fernando
9
Pan, Quan Ke
8
Zandieh, M.
8
Fernandez-Viagas, Victor
7
Chan, Felix Tung Sun
6
Naderi, Bahman
6
Subramanian, Anand
6
Vidal, Thibaut
6
Wu, Cheng
6
Zhang, Rui
6
Chen, Huaping
5
Essam, Daryl
5
Gen, Mitsuo
5
Huang, George Q.
5
Kucukkoc, Ibrahim
5
Laporte, Gilbert
5
Nearchou, Andreas C.
5
Parthiban, P.
5
Sarker, Ruhul
5
Wang, Ling
5
Ying, Kuo-ching
5
Abhary, Kazem
4
Allahverdi, Ali
4
Burke, Edmund K.
4
Cerulli, Raffaele
4
Chung, Sai Ho
4
Dao, Son Duy
4
Datta, Dilip
4
Drezner, Zvi
4
Hafezalkotob, Ashkan
4
Huynh, Nathan
4
Kellenbrink, Carolin
4
Krause, Rüdiger
4
Krichen, Saoussen
4
Li, Jingpeng
4
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International journal of production research
5
Computers & operations research : and their applications to problems of world concern ; an international journal
1
European journal of operational research : EJOR
1
International journal of production economics
1
Omega : the international journal of management science
1
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1
Historical information based iterated greedy algorithm for distributed flowshop group scheduling problem with sequence-dependent setup times
He, Xuan
;
Pan, Quan Ke
;
Gao, Liang
;
Neufeld, Janis S.
; …
- In:
Omega : the international journal of management science
123
(
2024
),
pp. 1-19
Persistent link: https://www.econbiz.de/10014533383
Saved in:
2
A cooperative iterated greedy algorithm for the serial distributed permutation flowshop scheduling problem
Han, Biao
;
Pan, Quan Ke
;
Gao, Liang
- In:
International journal of production research
62
(
2024
)
12
,
pp. 4245-4272
Persistent link: https://www.econbiz.de/10014547287
Saved in:
3
Multi-population genetic algorithm with greedy job insertion inter-factory neighbourhoods for multi-objective distributed hybrid flow-shop scheduling with unrelated-parallel machin...
Cui, Hanghao
;
Li, Xinyu
;
Gao, Liang
;
Zhang, Chunjiang
- In:
International journal of production research
62
(
2024
)
12
,
pp. 4427-4445
Persistent link: https://www.econbiz.de/10014547343
Saved in:
4
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:
5
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:
6
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:
7
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:
8
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:
9
A genetic algorithm for the Flexible Job-shop Scheduling Problem
Pezzella, F.
;
Morganti, G.
;
Ciaschetti, G.
- In:
Computers & operations research : and their …
35
(
2008
)
10
,
pp. 3202-3212
Persistent link: https://www.econbiz.de/10003713039
Saved in:
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