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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
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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
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Bi-objective hybrid flow shop scheduling with common due date
Li, Zhi; Zhong, Runyang; Barenji, Ali Vatankhah; Liu, J. J. - In: Operational research : an international journal 21 (2021) 2, pp. 1153-1178
Persistent link: https://www.econbiz.de/10012584181
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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
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Development and comparison of multiple genetic algorithms and heuristics for assembly production planning
Lau, Haili; He, Longfei; Huang, George Q.; Wang, Kai - In: IMA journal of management mathematics 27 (2016) 2, pp. 181-200
Persistent link: https://www.econbiz.de/10011567017
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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
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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
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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
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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
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A surrogate-assisted dual-tree genetic programming framework for dynamic resource constrained multi-project scheduling problem
Chen, HaoJie; Li, Xinyu; Gao, Liang - In: International journal of production research 62 (2024) 16, pp. 5631-5653
Persistent link: https://www.econbiz.de/10015053716