Robust integer programming

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Abstract

We provide a complexity classification of four variants of robust integer programming when the underlying Graver basis is given. We discuss applications to robust multicommodity flows and multiway statistical table problems, and describe an effective parametrization of robust integer programming.

Original languageEnglish
Pages (from-to)558-560
Number of pages3
JournalOperations Research Letters
Volume42
Issue number8
DOIs
StatePublished - Dec 2014

Keywords

  • Graver basis
  • Integer programming
  • Multicommodity flow
  • Robust optimization
  • Statistical table

All Science Journal Classification (ASJC) codes

  • Software
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering
  • Applied Mathematics

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