Mixed Integer Linear Programming Formulation Techniques
Name
Vielma-2015-Mixed Integer Linear.pdf
Size
1.41 MB
Format
Adobe PDF
Checksum (MD5)
0631b74aefe05efe6073c4aa4fd15810
Author(s)
Vielma, Juan Pablo
Date Issued
February 2015
Journal
SIAM Review
Publisher
Society for Industrial and Applied Mathematics
Citation
Vielma, Juan Pablo. “Mixed Integer Linear Programming Formulation Techniques.” SIAM Review 57, no. 1 (January 2015): 3–57. © 2015 Society for Industrial and Applied Mathematics
Version
Final published version
Abstract
A wide range of problems can be modeled as Mixed Integer Linear Programming (MIP) problems using standard formulation techniques. However, in some cases the resulting MIP can be either too weak or too large to be effectively solved by state of the art solvers. In this survey we review advanced MIP formulation techniques that result in stronger and/or smaller formulations for a wide class of problems.
MIT Department
Sloan School of Management
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1137/130915303
