A hybrid parametric/stochastic programming approach for mixed-integer linear problems under uncertainty

Industrial and Engineering Chemistry Research

Volumn 36, Issue 6, 1997, Pages 2262-2270

  Acevedo, Joaquín ^a,b   Pistikopoulos, Efstratios N ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b SCHOOL OF ENGINEERING AND SCIENCES   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; COMPUTATIONAL METHODS; INTEGER PROGRAMMING; LINEAR PROGRAMMING; PROBLEM SOLVING; RANDOM PROCESSES;

HYBRID PARAMETRIC/STOCHASTIC PROGRAMMING APPROACH;

PROCESS ENGINEERING;

EID: 0031169242     PISSN: 08885885     EISSN: None     Source Type: Journal    
DOI: 10.1021/ie960708f     Document Type: Article

References (3)

1. Acevedo, J.; Pistikopoulos, E. N. Computational Studies of Stochastic Optimization Algorithms for Process Synthesis under uncertainty. Comput. Chem. Eng. 1996, S20, 1-778.
2. Andrecovich, M. J.; Westerberg, A. W. A Simple Synthesis Method Based on Utility Bounding for Heat-Integrated Distillation Sequences. AIChE J. 1985, 31, 363-375.
3. Biegler, L. T.; Grossmann, I. E.; Westerberg, A. W. Systematic Methods for Chemical Process Design; Prentice Hall: New York, 1997.