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Nevergrad: black-box optimization platform

Authors :
Fabien Teytaud
Antoine Moreau
Pauline Bennet
Olivier Teytaud
Carola Doerr
Jeremy Rapin
Institut Pascal (IP)
Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA)-Institut national polytechnique Clermont Auvergne (INP Clermont Auvergne)
Université Clermont Auvergne (UCA)-Université Clermont Auvergne (UCA)
Facebook AI Research [Paris] (FAIR)
Facebook
Université Paris-Saclay
Laboratoire d'Informatique Signal et Image de la Côte d'Opale (LISIC)
Université du Littoral Côte d'Opale (ULCO)
Université de Lille
Source :
ACM SIGEVOlution, ACM SIGEVOlution, Association for Computing Machinery (ACM), 2021, 14, pp.8. ⟨10.1145/3460310.3460312⟩, ACM SIGEVOlution, 2021, 14 (1), pp.8-15. ⟨10.1145/3460310.3460312⟩
Publication Year :
2021
Publisher :
HAL CCSD, 2021.

Abstract

Nevergrad is an open source platform for black-box optimization. Join the user group! And if you like Nevergrad, please support us by adding a star on GitHub (https://github.com/facebookresearch/nevergrad).

Details

Language :
English
ISSN :
19318499
Database :
OpenAIRE
Journal :
ACM SIGEVOlution, ACM SIGEVOlution, Association for Computing Machinery (ACM), 2021, 14, pp.8. ⟨10.1145/3460310.3460312⟩, ACM SIGEVOlution, 2021, 14 (1), pp.8-15. ⟨10.1145/3460310.3460312⟩
Accession number :
edsair.doi.dedup.....7a8c0dd648e5203d30a62eaf1c0981e5
Full Text :
https://doi.org/10.1145/3460310.3460312⟩