A Comparative Theoretical and Computational Study on Robust Counterpart Optimization: I. Robust Linear Optimization and Robust Mixed Integer Linear Optimization-Reference-Cited by-同舟云学术

A Comparative Theoretical and Computational Study on Robust Counterpart Optimization: I. Robust Linear Optimization and Robust Mixed Integer Linear Optimization

Published:2011-08-22 Issue:18 Volume:50 Page:10567-10603
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Li Zukui¹,Ding Ran¹,Floudas Christodoulos A.¹

Affiliation:

1. Department of Chemical and Biological Engineering, Princeton University, Princeton, New Jersey 08544, United States

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ie200150p

Reference37 articles.

1. Robust solutions of Linear Programming problems contaminated with uncertain data

2. Robust Truss Topology Design via Semidefinite Programming

3. Robust optimization ? methodology and applications

4. Technical Note—Convex Programming with Set-Inclusive Constraints and Applications to Inexact Linear Programming

5. Adjustable robust solutions of uncertain linear programs

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