Ackley
Benchmarks
Task NameDataset NameSOTA ResultTrendResults
Ackley d=2
0.195Simple Regret
22
Ackley
3.1Optimized Cost
18
Ackley 4D
0.64Normalized RMSE
16
Ackley
0.993Avg Max Reward
12
Ackley d=30
10.7Simple Regret
11
Ackley d=20
9.65Simple Regret
11
Ackley d=8
9.65Simple Regret
11
Ackley d=4
9.55Simple Regret
11
Ackley-5d
30.991Average Runtime
11
Ackley01 function
1.94Mean Objective Value
10
Ackley d=500
0.04MSE
9
Ackley-8D
4.08Best Objective Value
9
Ackley
259.43Final Cumulative Expected Regret
9
Ackley d=20
0.12Median Best Objective Value
9
Ackley
0.078Simple Regret
9
Ackley d=100 synthetic (round 10)
0.137Relative Batch Instantaneous Regret
9
Ackley d=50 synthetic (round 10)
0.177Relative Batch Instantaneous Regret
9
Ackley (d=20) synthetic (round 10)
0.219Relative Batch Instantaneous Regret
9
Ackley d=10 synthetic (round 10)
0.253Relative Batch Instantaneous Regret
9
Ackley d=2 synthetic (round 10)
0.165Relative Batch Instantaneous Regret
9
Ackley 10-dimensional
205Mean Function Evaluations
8
Ackley 30D
1.289Average Final Objective Value
7
Ackley4
0.012twCRPS
7
Ackley d=20
9.13Average CPU Time (s)
7
Ackley4
94Empirical Coverage (90%)
7