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COCO: The Experimental Procedure

Nikolaus Hansen 1 Tea Tušar 2 Olaf Mersmann 3 Anne Auger 1 Dimo Brockhoff 2 
1 TAO - Machine Learning and Optimisation
LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
2 DOLPHIN - Parallel Cooperative Multi-criteria Optimization
Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189
Abstract : We present a budget-free experimental setup and procedure for benchmarking numerical optimization algorithms in a black-box scenario. This procedure can be applied with the COCO benchmarking platform. We describe initialization of and input to the algorithm and touch upon the relevance of termination and restarts.
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Submitted on : Thursday, May 19, 2016 - 1:13:28 AM
Last modification on : Tuesday, November 22, 2022 - 2:26:16 PM


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  • HAL Id : hal-01294167, version 2
  • ARXIV : 1603.08776


Nikolaus Hansen, Tea Tušar, Olaf Mersmann, Anne Auger, Dimo Brockhoff. COCO: The Experimental Procedure. 2016. ⟨hal-01294167v2⟩



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