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Optimization problem with normally distributed uncertain parameters
Author(s) -
Ostrovsky Gennady M.,
Ziyatdinov Nadir N.,
Lapteva Tatiana V.
Publication year - 2013
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.14044
Subject(s) - class (philosophy) , mathematical optimization , transformation (genetics) , process (computing) , optimization problem , computer science , stage (stratigraphy) , control (management) , mathematics , artificial intelligence , paleontology , biochemistry , chemistry , biology , gene , operating system
The issue of chemical process optimization when at the operation stage the design specification should be met with some probability and the control variables can be changed has been considered. A common approach for solving the broad class of optimization problems with normally distributed uncertain parameters were developed. This class includes the one‐stage and two‐stage optimization problems with chance constraints. This approach is based on approximate transformation of chance constraints into deterministic ones. © 2013 American Institute of Chemical Engineers AIChE J , 59: 2471–2484, 2013