Benchmarking in Optimization: Best Practice and Open Issues

Publikation: Sonstige VeröffentlichungSonstigesBeigetragen

Beitragende

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

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

OriginalspracheEnglisch
PublikationsstatusVeröffentlicht - 7 Juli 2020
Peer-Review-StatusNein
No renderer: customAssociatesEventsRenderPortal,dk.atira.pure.api.shared.model.researchoutput.OtherContribution