Welcome to the web page of the ANR project NumBBO!


The four-year*, ANR-funded research project NumBBO aimed at the analysis, improvement and evaluation of numerical blackbox optimizers. As a main research topic, we focused on extending and upgrading the COCO platform towards

  • expensive optimization where function evaluations are costly,
  • large-scale optimization where the number of variables can be in the order of thousands or millions,
  • constrained optimization where the feasible search space is restricted by a set of constraints, and
  • multiobjective optimization where more than one objective function are to be simultaneously optimized.

The project consortium contained researchers from the three French partners INRIA Saclay - Ile de France, INRIA Lille - Nord Europe, and Ecole des Mines de St. Etienne as well as the partners TU Dortmund in Germany and the Czech Technical University in the Czech Republic (currently associated partner).

*Lately, the project was extended until July 2017.

start.txt · Last modified: 2017/11/26 18:03 by brockho
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