Process scheduling under uncertainty: Review and challenges Z Li, M Ierapetritou Computers & Chemical Engineering 32 (4-5), 715-727, 2008 | 496 | 2008 |
A comparative theoretical and computational study on robust counterpart optimization: I. Robust linear optimization and robust mixed integer linear optimization Z Li, R Ding, CA Floudas Industrial & engineering chemistry research 50 (18), 10567-10603, 2011 | 316 | 2011 |
Petroleum refining operations: key issues, advances, and opportunities NK Shah, Z Li, MG Ierapetritou Industrial & Engineering Chemistry Research 50 (3), 1161-1170, 2011 | 184 | 2011 |
Robust optimization for process scheduling under uncertainty Z Li, MG Ierapetritou Industrial & Engineering Chemistry Research 47 (12), 4148-4157, 2008 | 142 | 2008 |
Rolling horizon based planning and scheduling integration with production capacity consideration Z Li, MG Ierapetritou Chemical Engineering Science 65 (22), 5887-5900, 2010 | 124 | 2010 |
Novel protein identification methods for biomarker discovery via a proteomic analysis of periodontally healthy and diseased gingival crevicular fluid samples RC Baliban, D Sakellari, Z Li, PA DiMaggio, BA Garcia, CA Floudas Journal of clinical periodontology 39 (3), 203-212, 2012 | 122 | 2012 |
A comparative theoretical and computational study on robust counterpart optimization: II. Probabilistic guarantees on constraint satisfaction Z Li, Q Tang, CA Floudas Industrial & engineering chemistry research 51 (19), 6769-6788, 2012 | 113 | 2012 |
Integrated production planning and scheduling using a decomposition framework Z Li, MG Ierapetritou Chemical Engineering Science 64 (16), 3585-3597, 2009 | 96 | 2009 |
Production planning and scheduling integration through augmented Lagrangian optimization Z Li, MG Ierapetritou Computers & chemical engineering 34 (6), 996-1006, 2010 | 93 | 2010 |
Nonlinear and robust statistical process monitoring based on variant autoencoders W Yan, P Guo, Z Li Chemometrics and Intelligent Laboratory Systems 158, 31-40, 2016 | 89 | 2016 |
Optimal scenario reduction framework based on distance of uncertainty distribution and output performance: I. Single reduction via mixed integer linear optimization Z Li, CA Floudas Computers & Chemical Engineering 70, 50-66, 2014 | 89 | 2014 |
Machine learning-based multiobjective optimization of pressure swing adsorption SG Subraveti, Z Li, V Prasad, A Rajendran Industrial & Engineering Chemistry Research 58 (44), 20412-20422, 2019 | 86 | 2019 |
Reactive scheduling using parametric programming Z Li, MG Ierapetritou AIChE journal 54 (10), 2610-2623, 2008 | 74 | 2008 |
A novel data-driven leak detection and localization algorithm using the Kantorovich distance BMS Arifin, Z Li, SL Shah, GA Meyer, A Colin Computers & Chemical Engineering 108, 300-313, 2018 | 71 | 2018 |
Robust optimization and stochastic programming approaches for medium-term production scheduling of a large-scale steelmaking continuous casting process under demand uncertainty Y Ye, J Li, Z Li, Q Tang, X Xiao, CA Floudas Computers & Chemical Engineering 66, 165-185, 2014 | 69 | 2014 |
Process scheduling under uncertainty using multiparametric programming Z Li, MG Ierapetritou AIChE journal 53 (12), 3183-3203, 2007 | 67 | 2007 |
A Comparative Theoretical and Computational Study on Robust Counterpart Optimization: III. Improving the Quality of Robust Solutions Z Li, CA Floudas Industrial & Engineering Chemistry Research 53 (33), 13112-13124, 2014 | 64 | 2014 |
A new methodology for the general multiparametric mixed-integer linear programming (MILP) problems Z Li, MG Ierapetritou Industrial & engineering chemistry research 46 (15), 5141-5151, 2007 | 64 | 2007 |
Robust optimization under correlated uncertainty: Formulations and computational study Y Yuan, Z Li, B Huang Computers & Chemical Engineering 85, 58-71, 2016 | 60 | 2016 |
Optimal robust optimization approximation for chance constrained optimization problem Z Li, Z Li Computers & Chemical Engineering 74, 89-99, 2015 | 40 | 2015 |