This work is licensed under the Creative Commons Attribution 4.0 International License.
Yapp, C., Rogers, C., Savitsky, P., Philpott, M., & Susanne Müller. (2016). Frapid: achieving full automation of frap for chemical probe validation. Biomedical Optics Express(2).Search in Google Scholar
Xia, L., Chu, J., & Geng, Z. (2014). A multiswarm competitive particle swarm algorithm for optimization control of an ethylene cracking furnace. Applied Artificial Intelligence, 28(1-3), 30-46.Search in Google Scholar
Kuo, C. F. J., Lan, W. L., Chang, Y. C., & Lin, K. W. (2016). The preparation of organic light-emitting diode encapsulation barrier layer by low-temperature plasma-enhanced chemical vapor deposition: a study on the ¥¥(¥¥hbox {sio_¥¥mathrm{x¥¥hbox {n_¥¥mathrm{y¥¥) film parameter optimization. Journal of Intelligent Manufacturing.Search in Google Scholar
Bertsch, W., Sellers, C. S., Babin, K., & Holzer, G. (2015). Automation in the chemical Analysis of suspect arson samples by gc/ms. a systematic approach. Journal of Separation Science, 11(11), 815-819.Search in Google Scholar
Ahmed, R., Rangaiah, G. P., Mahadzir, S., Mirjalili, S., Hassan, M. H., & Kamel, S. (2023). Memory, evolutionary operator, and local search based improved grey wolf optimizer with linear population size reduction technique. Knowledge-Based Systems, 264, 110297-.Search in Google Scholar
Wang, Y. S. D. (2020). Multi-stage intelligent operation optimization for a hydrocracking fractionation system with a multi-fractionator series-parallel structure. The Canadian Journal of Chemical Engineering, 98(11).Search in Google Scholar
Wu, X., Shen, J., Wang, M., & Lee, K. Y. (2020). Intelligent predictive control of large-scale solvent-based co_2 capture plant using artificial neural network and particle swarm optimization. Energy, 196(Apr.1), 117070.1-117070.14.Search in Google Scholar
Chan, K. Y., Yiu, C. K. F., Dillon, T. S., Nordholm, S., & Ling, S. H. (2012). Enhancement of speech recognitions for control automation using an intelligent particle swarm optimization. IEEE Transactions on Industrial Informatics, 8(4), 869-879.Search in Google Scholar
Duan, Y., Liu, M., Dong, M., & Wu, C. (2015). A two-stage clustered multi-task learning method for operational optimization in chemical mechanical polishing. Journal of Process Control, 35, 169-177.Search in Google Scholar
Xiang, Y., Liu, Z., & Wang, L. (2020). Genetic-algorithm-optimization-based predictive functional control for chemical industry processes against partial actuator faults. IEEE Access, 8, 214586-214595.Search in Google Scholar
Sun, Y., Zhang, L., & Gu, X. (2012). A hybrid co-evolutionary cultural algorithm based on particle swarm optimization for solving global optimization problems. Neurocomputing, 98, 76-89.Search in Google Scholar
White, D. C. (2010). Save energy through automation. Chemical Engineering Progress(1), 106.Search in Google Scholar
Liu, X., Chen, L., & Yunqing, H. U. (2013). Olution of chemical dynamic optimization using the simultaneous strategie. Chinese Journal of Chemical Engineering.Search in Google Scholar
Hadi, NaserNiaei, AligholiNabavi, Seyed RezaAlizadeh, RezaShirazi, Masoud NavaeiIzadkhand, Behrang. (2016). An intelligent approach to design and optimization of m-mn/h-zsm-5 (m: ce, cr, fe, ni) catalysts in conversion of methanol to propylene. Journal of the Taiwan Institute of Chemical Engineers, 59(Null).Search in Google Scholar
Kwon, H., Oh, K. C., Choi, Y., Chung, Y. G., & Kim, J. (2021). Development and application of machine learning‐based prediction model for distillation column. International Journal of Intelligent Systems(2).Search in Google Scholar
Yu, M., & Zou, Z. (2020). Design of structure and control system of semiconductor refrigeration box. Chinese Journal of Chemical Engineering, 28(11).Search in Google Scholar
Fu, Y. P., Zhou, M. C., Guo, X. W., & Qi, L. (2019). Artificial-molecule-based chemical reaction optimization for flow shop scheduling problem with deteriorating and learning effects. IEEE Access, PP(99), 1-1.Search in Google Scholar
Kumar, D., Shenoy, A., Deutsch, J., & Schroeder, C. M. (2020). Automation and flow control for particle manipulation. Current Opinion in Chemical Engineering, 29, 1-8.Search in Google Scholar
Houk, B. G., Debari, D. L., Bitar, S., Bartusiak, D., & Ribe, K. (2020). Open process automation for distributed control systems. Chemical Engineering Progress(9), 116.Search in Google Scholar