5 datasets found

A broad benchmark suite for black-box optimization, covering a wide range of problems, including academic benchmarks, real-world applications, and discrete optimization problems.

The authors evaluate the performance of their proposed conformal prediction methods for multistep feedback covariate shift (MFCS) on synthetic black-box optimization and active...

The Design-Bench dataset is a suite of offline black-box optimization tasks. It contains 6 high-dimensional real-world tasks, including D'Kitty, Ant, TFBind8, TFBind10,...

The BBOB suite is a collection of 24 noise-free real-parameter single objective optimization problems of different landscape complexity.

Algorithm selection wizard for black-box optimization, using automated algorithm configuration methods