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Recent advances in mathematical programming techniques for the optimization of process systems under uncertainty
2016
Computers and Chemical Engineering
Optimization under uncertainty has been an active area of research for many years. However, its application in Process Systems Engineering has faced a number of important barriers that have prevented its effective application. Barriers include availability of information on the uncertainty of the data (ad-hoc or historical), determination of the nature of the uncertainties (exogenous vs. endogenous), selection of an appropriate strategy for hedging against uncertainty (robust/chance constrained
doi:10.1016/j.compchemeng.2016.03.002
fatcat:kbdi23aghbh25dnd455t7atcdm