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COCO - COmparing Continuous Optimizers : The Documentation

Nikolaus Hansen 1, 2, 3 Steffen Finck 4 Raymond Ros 1
1 TAO - Machine Learning and Optimisation
CNRS - Centre National de la Recherche Scientifique : UMR8623, Inria Saclay - Ile de France, UP11 - Université Paris-Sud - Paris 11, LRI - Laboratoire de Recherche en Informatique
Abstract : COmparing Continuous Optimisers (COCO) is a tool for benchmarking algorithms for black-box optimisation. COCO facilitates systematic experimentation in the field of continuous optimization. COCO provides an experimental framework for testing the algorithms, post-processing facilities for generating publication-quality figures and tables, LaTeX templates of articles which present the figures and tables in a single document.
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Submitted on : Wednesday, June 1, 2011 - 9:28:49 PM
Last modification on : Thursday, July 8, 2021 - 3:48:25 AM
Long-term archiving on: : Friday, November 9, 2012 - 2:05:25 PM


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  • HAL Id : inria-00597334, version 1



Nikolaus Hansen, Steffen Finck, Raymond Ros. COCO - COmparing Continuous Optimizers : The Documentation. [Research Report] RT-0409, INRIA. 2011, pp.57. ⟨inria-00597334⟩



Les métriques sont temporairement indisponibles