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~person:"Gao, Liang"
~person:"Pezzella, F."
~person:"Varthanan, P. Ashoka"
~subject:"Assembly-line production"
~subject:"Operations Research"
~subject:"Production control"
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Search: subject_exact:"Genetic algorithm"
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Gao, Liang
Pezzella, F.
Varthanan, P. Ashoka
Kucukkoc, Ibrahim
6
Chan, Felix Tung Sun
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Chen, Huaping
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Ruiz, Rubén
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International journal of production research
2
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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 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:
3
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:
4
An integrated multi-plant aggregate production : distribution plan generated using memetic algorithm
Varthanan, P. Ashoka
;
Murugan, N.
;
Kumar, G. Mohan
- In:
International journal of value chain management : IJVCM
4
(
2010
)
3
,
pp. 213-239
Persistent link: https://www.econbiz.de/10008664485
Saved in:
5
A genetic algorithm approach to generate an integrated multiplant aggregate production-distribution plan
Varthanan, P. Ashoka
;
Murugan, N.
;
Kumar, G. Mohan
- In:
International journal of services and operations management
7
(
2010
)
1
,
pp. 76-96
Persistent link: https://www.econbiz.de/10008647379
Saved in:
6
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
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