Benchmarking multivariate solvers of SciPy on the noiseless testbed-Reference-Cited by-同舟云学术

Benchmarking multivariate solvers of SciPy on the noiseless testbed

Published:2019-07-13 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Genetic and Evolutionary Computation Conference Companion
language:
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Author:

Varelas Konstantinos¹,Dahito Marie-Ange²

Affiliation:

1. École Polytechnique, IP, Paris and Thales LAS France SAS

2. École Polytechnique, IP, Paris and PSA Group

Funder

French MoD DGA/MRIS

PSA Group

Thales Land & Air Systems

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3319619.3326891

Reference19 articles.

1. Stopping criteria, initialization, and implementations of BFGS and their effect on the BBOB test suite

2. Implementing the Nelder-Mead simplex algorithm with adaptive parameters

3. N. Hansen A. Auger S. Finck and R. Ros. 2012. Real-Parameter Black-Box Optimization Benchmarking 2012: Experimental Setup. Technical Report. INRIA. http://coco.gforge.inria.fr/bbob2012-downloads N. Hansen A. Auger S. Finck and R. Ros. 2012. Real-Parameter Black-Box Optimization Benchmarking 2012: Experimental Setup. Technical Report. INRIA. http://coco.gforge.inria.fr/bbob2012-downloads

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