Please use this identifier to cite or link to this item:
|Title:||Parametric optimization with uncertainty on the left hand side of linear programs|
|Source:||Khalilpour, R., Karimi, I.A. (2014). Parametric optimization with uncertainty on the left hand side of linear programs. Computers and Chemical Engineering 60 : 31-40. ScholarBank@NUS Repository. https://doi.org/10.1016/j.compchemeng.2013.08.005|
|Abstract:||Although parametric optimization with uncertainties on the objective function (OF) or on the so-called "right-hand-side" (RHS) of the constraints has been addressed successfully in recent papers, very little work exists on the same with uncertainties on the left-hand-side (LHS) of the constraints or in the coefficients of the constraint matrix. The goal of this work has been to develop a systematic method to solve such parametric optimization problems. This is a very complex problem and we have begun with the simplest of optimization problems, namely the linear programming problem with a single parameter on the LHS. This study reviews the available work on parametric optimization, describes the challenges and issues specific to LHS parametric linear programming (LHS-pLP), and presents a solution algorithm using some classic results from matrix algebra. © 2013 Elsevier Ltd.|
|Source Title:||Computers and Chemical Engineering|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 6, 2017
WEB OF SCIENCETM
checked on Nov 22, 2017
checked on Dec 10, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.