Zukui Li
Zukui Li
Associate Professor, University of Alberta
Verified email at ualberta.ca
Title
Cited by
Cited by
Year
Process scheduling under uncertainty: Review and challenges
Z Li, M Ierapetritou
Computers & Chemical Engineering 32 (4-5), 715-727, 2008
3962008
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
2202011
Petroleum refining operations: key issues, advances, and opportunities
NK Shah, Z Li, MG Ierapetritou
Industrial & Engineering Chemistry Research 50 (3), 1161-1170, 2011
1392011
Robust optimization for process scheduling under uncertainty
Z Li, MG Ierapetritou
Industrial & Engineering Chemistry Research 47 (12), 4148-4157, 2008
1162008
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
962012
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
912012
Rolling horizon based planning and scheduling integration with production capacity consideration
Z Li, MG Ierapetritou
Chemical Engineering Science 65 (22), 5887-5900, 2010
902010
Production planning and scheduling integration through augmented Lagrangian optimization
Z Li, MG Ierapetritou
Computers & chemical engineering 34 (6), 996-1006, 2010
752010
Integrated production planning and scheduling using a decomposition framework
Z Li, MG Ierapetritou
Chemical Engineering Science 64 (16), 3585-3597, 2009
742009
Reactive scheduling using parametric programming
Z Li, MG Ierapetritou
AIChE journal 54 (10), 2610-2623, 2008
642008
Process scheduling under uncertainty using multiparametric programming
Z Li, MG Ierapetritou
AIChE journal 53 (12), 3183-3203, 2007
622007
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
592014
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
522014
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
482007
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
472014
Robust optimization under correlated uncertainty: Formulations and computational study
Y Yuan, Z Li, B Huang
Computers & Chemical Engineering 85, 58-71, 2016
442016
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
302018
Optimal robust optimization approximation for chance constrained optimization problem
Z Li, Z Li
Computers & Chemical Engineering 74, 89-99, 2015
302015
Discovery of biomarker combinations that predict periodontal health or disease with high accuracy from GCF samples based on high‐throughput proteomic analysis and mixed‐integer …
RC Baliban, D Sakellari, Z Li, YA Guzman, BA Garcia, CA Floudas
Journal of clinical periodontology 40 (2), 131-139, 2013
292013
Optimal scenario reduction framework based on distance of uncertainty distribution and output performance: II. Sequential reduction
Z Li, CA Floudas
Computers & Chemical Engineering 84, 599-610, 2016
282016
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