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A prediction-based online soft scheduling algorithm for the real-world steelmaking-continuous casting production.

, , , and . Knowl. Based Syst., (2016)

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A Two-Phase Soft Optimization Method for the Uncertain Scheduling Problem in the Steelmaking Industry., , and . IEEE Trans. Syst. Man Cybern. Syst., 47 (3): 416-431 (2017)A Pilot Study on Falling-Risk Detection Method Based on Postural Perturbation Evoked Potential Features., , , , , , , and . Sensors, 19 (24): 5554 (2019)A bi-layer optimization approach for a hybrid flow shop scheduling problem involving controllable processing times in the steelmaking industry., , , and . Comput. Ind. Eng., (2015)Application of BCI-FES system on stroke rehabilitation., , , , , , , and . NER, page 1112-1115. IEEE, (2015)A multi-objective optimization approach for integrated production planning under interval uncertainties in the steel industry., , , and . Comput. Oper. Res., (2016)A soft-decision based two-layered scheduling approach for uncertain steelmaking-continuous casting process., , , and . Eur. J. Oper. Res., 244 (3): 966-979 (2015)An Operation-Group Based Soft Scheduling Approach for Uncertain Semiconductor Wafer Fabrication System., , , and . IEEE Trans. Syst. Man Cybern. Syst., 48 (8): 1332-1347 (2018)Digital Twin-Enabled Production Optimization for Steel Industry., , , , and . CSCWD, page 1126-1131. IEEE, (2022)Cortical excitability effects of stimulation intensity change speed during NMES., , , , , , and . EMBC, page 4670-4673. IEEE, (2016)A preference-inspired multi-objective soft scheduling algorithm for the practical steelmaking-continuous casting production., , and . Comput. Ind. Eng., (2018)