作者
Ignacio E Grossmann, Robert M Apap, Bruno A Calfa, Pablo García-Herreros, Qi Zhang
发表日期
2016/8/4
期刊
Computers & Chemical Engineering
卷号
91
页码范围
3-14
出版商
Pergamon
简介
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 optimization vs. stochastic programming), large computational expense (often orders of magnitude larger than deterministic models), and difficulty of interpretation of the results by non-expert users. In this paper, we describe recent advances that have addressed some of these barriers for mostly linear models.
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IE Grossmann, RM Apap, BA Calfa, P García-Herreros… - Computers & Chemical Engineering, 2016