Solving mixed-integer robust optimization problems with interval uncertainty using Benders decomposition-Reference-Cited by-同舟云学术

Solving mixed-integer robust optimization problems with interval uncertainty using Benders decomposition

Published:2015-04 Issue:4 Volume:66 Page:664-673
ISSN:0160-5682
Container-title:Journal of the Operational Research Society
language:en
Short-container-title:Journal of the Operational Research Society

Author:

Siddiqui Sauleh¹,Gabriel Steven A²,Azarm Shapour³

Affiliation:

1. Johns Hopkins University Baltimore MD USA

2. Department of Civil EngineeringApplied Mathematics & Statistics, and Scientific Computation Program, University of Maryland College Park MD USA

3. Department of Mechanical EngineeringApplied Mathematics & Statistics, and Scientific Computation Program, University of Maryland College Park MD USA

Publisher

Informa UK Limited

Subject

Marketing,Management Science and Operations Research,Strategy and Management,Management Information Systems

Link

http://link.springer.com/content/pdf/10.1057/jors.2014.41.pdf

Reference23 articles.

1. Strong Formulations of Robust Mixed 0–1 Programming

2. Consideration of Worst-Case Manufacturing Tolerances in Design Optimization

3. Survey of Integer Programming

4. Robust optimization ? methodology and applications

5. Partitioning procedures for solving mixed-variables programming problems

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