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.COmparing Continuous Optimisers (COCO) est un outil pour la comparaison d'algorithmes pour l'optimisation boîte noire. COCO facilite l'expérimentation systématique dans le domaine de l'optimisation continue. COCO fournit un cadre expérimental pour tester des algorithmes, des outils de post-traitement pour générer des figur...
Quantifying and comparing performance of optimization algorithms is one important aspect of research...
International audienceThe Comparing Continuous Optimizers platform COCO has become a standard for be...
Un problème d'optimisation continue peut se définir ainsi : étant donné une fonction objectif de R à...
COmparing Continuous Optimisers (COCO) is a tool for benchmarking algorithms for black-box optimisat...
International audienceWe introduce COCO, an open source platform for Comparing Continuous Optimizers...
Numerical black-box optimization benchmarking framework. New Features in v2.3: support of discre...
ArXiv e-prints, arXiv:1603.08776We present a budget-free experimental setup and procedure for benchm...
International audienceBenchmarking of optimization solvers is an important and compulsory task for p...
ArXiv e-prints, arXiv:1605.03560We present an any-time performance assessment for benchmarking numer...
The development of algorithms for tackling continuous optimization problems has been one of the most...
Release for final papers of BBOB-2019 workshop. New Features: Data sets from both the bbob-biobj...
CoCo is a program for estimation, test and model search among hierarchical interaction models for la...
Quantifying and comparing performance of optimization algorithms is one important aspect of research...
International audienceThe Comparing Continuous Optimizers platform COCO has become a standard for be...
Un problème d'optimisation continue peut se définir ainsi : étant donné une fonction objectif de R à...
COmparing Continuous Optimisers (COCO) is a tool for benchmarking algorithms for black-box optimisat...
International audienceWe introduce COCO, an open source platform for Comparing Continuous Optimizers...
Numerical black-box optimization benchmarking framework. New Features in v2.3: support of discre...
ArXiv e-prints, arXiv:1603.08776We present a budget-free experimental setup and procedure for benchm...
International audienceBenchmarking of optimization solvers is an important and compulsory task for p...
ArXiv e-prints, arXiv:1605.03560We present an any-time performance assessment for benchmarking numer...
The development of algorithms for tackling continuous optimization problems has been one of the most...
Release for final papers of BBOB-2019 workshop. New Features: Data sets from both the bbob-biobj...
CoCo is a program for estimation, test and model search among hierarchical interaction models for la...
Quantifying and comparing performance of optimization algorithms is one important aspect of research...
International audienceThe Comparing Continuous Optimizers platform COCO has become a standard for be...
Un problème d'optimisation continue peut se définir ainsi : étant donné une fonction objectif de R à...