Please use this identifier to cite or link to this item:
|Title:||Robust optimization made easy with ROME|
|Authors:||Goh, J. |
|Keywords:||Algebraic modeling toolbox|
|Source:||Goh, J., Sim, M. (2011). Robust optimization made easy with ROME. Operations Research 59 (4) : 973-985. ScholarBank@NUS Repository. https://doi.org/10.1287/opre.1110.0944|
|Abstract:||We introduce ROME, an algebraic modeling toolbox for a class of robust optimization problems. ROME serves as an intermediate layer between the modeler and optimization solver engines, allowing modelers to express robust optimization problems in a mathematically meaningful way. In this paper, we discuss how ROME can be used to model (1) a serviceconstrained robust inventory management problem, (2) a project-crashing problem, and (3) a robust portfolio optimization problem. Through these modeling examples, we highlight the key features of ROME that allow it to expedite the modeling and subsequent numerical analysis of robust optimization problems. ROME is freely distributed for academic use at http://www.robustopt.com. © 2011 INFORMS.|
|Source Title:||Operations Research|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Mar 7, 2018
WEB OF SCIENCETM
checked on Jan 30, 2018
checked on Mar 11, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.