• Corpus ID: 245906373

Benchmarking Problems for Robust Discrete Optimization

  title={Benchmarking Problems for Robust Discrete Optimization},
  author={Marc Goerigk and Mohammad Khosravi},
Robust discrete optimization is a highly active field of research where a plenitude of combinations between decision criteria, uncertainty sets and underlying nominal problems are considered. Usually, a robust problem becomes harder to solve than its nominal counterpart, even if it remains in the same complexity class. For this reason, specialized solution algorithms have been developed. To further drive the development of stronger solution algorithms and to facilitate the comparison between… 



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  • I. Averbakh
  • Computer Science, Mathematics
    Math. Program.
  • 2001
This is the first known example of a robust combinatorial optimization problem that is NP-hard in the case of scenario-represented uncertainty but is polynomially solvable in the CASE where uncertainty is represented by means of interval estimates for the weights.

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