Benchmarking in Optimization: Best Practice and Open Issues

Research output: Other contributionOtherContributed

Contributors

  • Thomas Bartz-Beielstein - (Author)
  • Carola Doerr - (Author)
  • Daan van den Berg - (Author)
  • Jakob Bossek - (Author)
  • Sowmya Chandrasekaran - (Author)
  • Tome Eftimov - (Author)
  • Andreas Fischbach - (Author)
  • Pascal Kerschke - , Chair of Big Data Analytics in Transportation (TT) (Author)
  • William La Cava - (Author)
  • Manuel Lopez-Ibanez - (Author)
  • Katherine M. Malan - (Author)
  • Jason H. Moore - (Author)
  • Boris Naujoks - (Author)
  • Patryk Orzechowski - (Author)
  • Vanessa Volz - (Author)
  • Markus Wagner - (Author)
  • Thomas Weise - (Author)

Abstract

This survey compiles ideas and recommendations from more than a dozen researchers with different backgrounds and from different institutes around the world. Promoting best practice in benchmarking is its main goal. The article discusses eight essential topics in benchmarking: clearly stated goals, well-specified problems, suitable algorithms, adequate performance measures, thoughtful analysis, effective and efficient designs, comprehensible presentations, and guaranteed reproducibility. The final goal is to provide well-accepted guidelines (rules) that might be useful for authors and reviewers. As benchmarking in optimization is an active and evolving field of research this manuscript is meant to co-evolve over time by means of periodic updates.

Details

Original languageEnglish
Publication statusPublished - 7 Jul 2020
Peer-reviewedNo
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