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Found 6 papers, 3 papers with code
Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite
Specifically, we want to understand the performance difference between BBOB and SBOX-COST as a function of two initialization methods and six constraint-handling strategies all tested with modular CMA-ES.
Experimental Investigation and Evaluation of Model-based Hyperparameter Optimization
The R package SPOT is used to perform the actual tuning (optimization).
Resource Planning for Hospitals Under Special Consideration of the COVID-19 Pandemic: Optimization and Sensitivity Analysis
Reasonable default values of these parameters were obtained in detailed discussions with medical professionals.
Hospital Capacity Planning Using Discrete Event Simulation Under Special Consideration of the COVID-19 Pandemic
There are benefits for medical professionals, e. g, analysis of the pandemic at local, regional, state and federal level, the consideration of special risk groups, tools for validating the length of stays and transition probabilities.
COCO: The Experimental Procedure
We present a budget-free experimental setup and procedure for benchmarking numericaloptimization algorithms in a black-box scenario.
COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting
We introduce COCO, an open source platform for Comparing Continuous Optimizers in a black-box setting.
