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Hybrid genetic algorithm for multi-objective flow shop scheduling problem with sequence dependent setup time : parameter design using Taguchi's robust design method
Viswanath, Anjana; Sridharan, R.; Kumar, P. N. Ram - In: International journal of process management and … 9 (2019) 4, pp. 419-446
Persistent link: https://www.econbiz.de/10012160504
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Development and analysis of hybrid genetic algorithms for flow shop scheduling with sequence dependent setup time
Vanchipura, Rajesh; Sridharan, R. - In: International journal of services and operations management 17 (2014) 2, pp. 168-193
Persistent link: https://www.econbiz.de/10010389949
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A hybrid neural network-genetic algorithm approach for permutation flow shop scheduling
Haq, A. Noorul; Ramanan, T. Radha; Shashikant, Kulkarni … - In: International journal of production research 48 (2010) 13/14, pp. 4217-4231
Persistent link: https://www.econbiz.de/10003983205
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Metaheuristics with restart and learning mechanisms for the no-idle flowshop scheduling problem with makespan criterion
Öztop, Hande; Tasgetiren, M. Fatih; Kandiller, Levent; … - In: Computers & operations research : and their … 138 (2022), pp. 1-20
Persistent link: https://www.econbiz.de/10013040961
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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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An evolution strategy approach for the distributed permutation flowshop scheduling problem with sequence-dependent setup times
Karabulut, Korhan; Öztop, Hande; Kizilay, Damla; … - In: Computers & operations research : and their … 142 (2022), pp. 1-20
Persistent link: https://www.econbiz.de/10013197701