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Generating hard instances for robust combinatorial optimization

Author

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  • Goerigk, Marc
  • Maher, Stephen J.

Abstract

While research in robust optimization has attracted considerable interest over the last decades, its algorithmic development has been hindered by several factors. One of them is a missing set of benchmark instances that make algorithm performance better comparable, and makes reproducing instances unnecessary. Such a benchmark set should contain hard instances in particular, but so far, the standard approach to produce instances has been to sample values randomly from a uniform distribution.

Suggested Citation

  • Goerigk, Marc & Maher, Stephen J., 2020. "Generating hard instances for robust combinatorial optimization," European Journal of Operational Research, Elsevier, vol. 280(1), pages 34-45.
    • Handle: RePEc:eee:ejores:v:280:y:2020:i:1:p:34-45
    DOI: 10.1016/j.ejor.2019.07.036
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