Add to ORKGArXiv e-prints, arXiv:1603.08776We present a budget-free experimental setup and procedure for benchmarking numericaloptimization 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 therelevance of termination and restarts
International audienceBenchmarking of optimization solvers is an important and compulsory task for p...
International audienceOne of the main goals of the COCO platform is to produce, collect , and make a...
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...
ArXiv e-prints, arXiv:1603.08785International audienceWe introduce COCO, an open source platform for...
Quantifying and comparing performance of optimization algorithms is one important aspect of research...
ArXiv e-prints, arXiv:1605.03560We present an any-time performance assessment for benchmarking numer...
COmparing Continuous Optimisers (COCO) is a tool for benchmarking algorithms for black-box optimisat...
International audienceThe Comparing Continuous Optimizers platform COCO has become a standard for be...
Quantifying and comparing performance of optimization algorithms is one important aspect of research...
Un problème d'optimisation continue peut se définir ainsi : étant donné une fonction objectif de R à...
International audienceAnytime performance assessment of black-box optimization algorithms assumes th...
International audienceBenchmarking of optimization solvers is an important and compulsory task for p...
International audienceOne of the main goals of the COCO platform is to produce, collect , and make a...
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...
ArXiv e-prints, arXiv:1603.08785International audienceWe introduce COCO, an open source platform for...
Quantifying and comparing performance of optimization algorithms is one important aspect of research...
ArXiv e-prints, arXiv:1605.03560We present an any-time performance assessment for benchmarking numer...
COmparing Continuous Optimisers (COCO) is a tool for benchmarking algorithms for black-box optimisat...
International audienceThe Comparing Continuous Optimizers platform COCO has become a standard for be...
Quantifying and comparing performance of optimization algorithms is one important aspect of research...
Un problème d'optimisation continue peut se définir ainsi : étant donné une fonction objectif de R à...
International audienceAnytime performance assessment of black-box optimization algorithms assumes th...
International audienceBenchmarking of optimization solvers is an important and compulsory task for p...
International audienceOne of the main goals of the COCO platform is to produce, collect , and make a...
Numerical black-box optimization benchmarking framework. New Features in v2.3: support of discre...