COCO: COmparing Continuous Optimizers

See holder/tabs to the left or the top right to navigate the page content.

Related links

• Code web page on Github (for how to run experiments)
• Data archive of all officially registered benchmark experiments (also accessible via the postprocessing module)
• Postprocessed data of these archives for browsing
• How to submit a data set
• How to create and use COCO data archives with the cocopp.archiving Python module
• Get news about COCO by registering here
• To visit the old COCO webpage, see the Internet Archive

Citation

You may cite this work in a scientific context as

N. Hansen, A. Auger, R. Ros, O. Mersmann, T. Tušar, D. Brockhoff. COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting, Optimization Methods and Software, 36(1), pp. 114-144, 2021. [pdf, arXiv]

    @ARTICLE{hansen2021coco,
    author = {Hansen, N. and Auger, A. and Ros, R. and Mersmann, O. and Tu{\v s}ar, T. and Brockhoff, D.},
    title = {{COCO}: A Platform for Comparing Continuous Optimizers in a Black-Box Setting},
    journal = {Optimization Methods and Software},
    doi = {https://doi.org/10.1080/10556788.2020.1808977},
    pages = {114--144},
    issue = {1},
    volume = {36},
    year = 2021
    }