An optimization approach for process engineering problems under uncertainty

被引：56

作者：

Ierapetritou, MG ^{[1
]}

Acevedo, J ^{[1
]}

Pistikopoulos, EN ^{[1
]}

机构：

[1] UNIV LONDON IMPERIAL COLL SCI TECHNOL & MED, DEPT CHEM ENGN & CHEM TECHNOL, CTR PROC SYST ENGN, LONDON SW7 2BY, ENGLAND

来源：

COMPUTERS & CHEMICAL ENGINEERING | 1996年 / 20卷 / 6-7期

关键词：

D O I：

10.1016/0098-1354(95)00203-0

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The problem of selecting an optimal design/plan for process model involving stochastic parameters is addressed in this paper. A classification of uncertainty is introduced depending on its sources and mathematical model structure. A combined multiperiod/stochastic optimization formulation is then proposed along with a decomposition-based algorithmic procedure for its solution. The approach is illustrated with a process synthesis/planning example problem.

引用

页码：703 / 709

页数：7

共 19 条

[1]

ACEVEDO JM, 1994, AICHE SPR M

[2] SUBLINEAR UPPER-BOUNDS FOR STOCHASTIC PROGRAMS WITH RECOURSE [J].