1. Introduction
  2. News
  3. Background
  4. IOHalgorithm
  5. IOHproblem
    1. PBO
  6. IOHdata
  7. IOHexperimenter
  8. IOHanalyzer
    1. Data format
      1. Meta data
      2. Raw data
    2. Graphical User Interface
      1. Data loading
      2. Fixed-target results
    3. R programming interface
  9. Competitions and Workshops
    1. Star Discrepancy
    2. MA-BBOB
  10. References
  11. License
  12. Feedback and suggestions
  13. Development team
  14. Acknowledgments

Acknowledgments

We thank our colleagues Anne Auger, Dimo Brockhoff, Arina Buzdalova, Maxim Buzdalov, Johann Dréo, Nikolaus Hansen, Pietro S. Oliveto, Ofer Shir, Markus Wagner, and Thomas Weise for various discussions around the benchmarking of iterative optimization heuristics.

Parts of our work have been inspired by working group 3 of COST Action CA15140 ‘Improving Applicability of Nature-Inspired Optimisation by Joining Theory and Practice (ImAppNIO)’ supported by the European Cooperation in Science and Technology.

Our work has been supported by Paris Ile-de-France region and by a public grant as part of the Investissement d’avenir project, reference ANR-11-LABX-0056-LMH, LabEx LMH, in a joint call with the Gaspard Monge Program for optimization, operations research, and their interactions with data sciences.

Furong Ye acknowledges financial support from the China Scholarship Council, CSC No. 201706310143.


Links
GitHub Page
Email us

License
BSD 3-Clause

Cite us
Citing IOHprofiler

Developers
Diederick Vermetten
Jacob de Nobel
Furong Ye
Hao Wang
Ofer M. Shir
Carola Doerr
Thomas Bäck