• DOI:10.1080/10556788.2020.1808977
Corpus ID: 15872501

COCO: a platform for comparing continuous optimizers in a black-box setting

@article{Hansen2021COCOAP,
  title={COCO: a platform for comparing continuous optimizers in a black-box setting},
  author={N. Hansen and A. Auger and Olaf Mersmann and T. Tusar and D. Brockhoff},
  journal={Optimization Methods and Software},
  year={2021},
  volume={36},
  pages={114 - 144}
}

N. Hansen, A. Auger, +2 authors D. Brockhoff

Published 2021

Computer Science, Mathematics

Optimization Methods and Software

We introduce COCO, an open-source platform for Comparing Continuous Optimizers in a black-box setting. COCO aims at automatizing the tedious and repetitive task of benchmarking numerical optimization algorithms to the greatest possible extent. The platform and the underlying methodology allow to benchmark in the same framework deterministic and stochastic solvers for both single and multiobjective optimization. We present the rationals behind the (decade-long) development of the platform as a… CONTINUE READING

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