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Levy

Benchmarks

Task NameDataset NameSOTA ResultTrend
Surrogate ModelingLevy 7D
Normalized RMSE0.87
16
Global OptimizationLevy13 function
Mean Objective Value1.03
10
Stochastic Lipschitz OptimizationLevy
Simple Regret0.035
9
Bayesian OptimizationLevy d=100 synthetic (round 10)
Relative Batch Instantaneous Regret0.031
9
Bayesian OptimizationLevy d=50 synthetic (round 10)
Relative Batch Instantaneous Regret2.9
9
Bayesian OptimizationLevy (d=20) synthetic (round 10)
Relative Batch Instantaneous Regret0.063
9
Bayesian OptimizationLevy (d=10) synthetic (round 10)
Relative Batch Instantaneous Regret2.3
9
Bayesian OptimizationLevy (d=2) synthetic (round 10)
Relative batch instantaneous regret0.092
9
Black-box OptimizationLevy8 function
AUSR2,530.9
8
Black-box OptimizationLevy-10D 300 evaluations
Wall Clock Time (s)0.043
8
Black-box OptimizationLevy-10D 100 evaluations
Wall Clock Time (s)0.03
8
Global OptimizationLevy (n=10)
Mean Function Evaluations562
7
Bayesian Optimisation2D Levy
Time per Iteration (s)0
7
Continuous OptimisationLevy 03
Mean Best Fitness0.355
6
Continuous OptimisationLevy03
Best Fitness (Levy03)0
6
Continuous OptimizationLevy03
Std Dev of Mean Best Fitness0
6
Synthetic Function OptimizationLevy 2D
Optimal Gap0.0012
5
Global OptimizationLevy 1000D (test)
Mean Fitness24,058
5
Global OptimizationLevy 100d
Mean Final Objective Value0
5
Sequential optimizationLevy Dim 8
AUC47
5
Sequential optimizationLevy Dim 4
AUC62
5
Sequential optimizationLevy Dim 2
AUC83
5
Level Set EstimationLevy 100-dimensional
Average Runtime (min)1.9
4
Level Set EstimationLevy 10-dimensional
Runtime (min)0.1
4
Synthetic Function OptimizationLevy 10D (300 evaluations)
Mean Objective Value-6.218
4
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