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Model-Based Optimization on Lat. RBF 31

0.66Expected Top 1% ScoreMatchOpt
-0.02640.15180.330.5082Oct 17, 2024

Evaluation results

MethodLinks
MatchOptNumber of generated designs=1000, Number of top designs for averaging=10, Number of runs=5, Score normalization method=min-max2024.100.66———
MatchOpt2024.100.66———
CliqueformerNumber of generated designs=1000, Number of top designs for averaging=10, Number of runs=5, Score normalization method=min-max2024.100.64———
CliqueformerSampling=Top 1% (avg top 10 of 1000), Trials=5 runs2024.100.64———
Cliqueformer2024.100.64———
COMsNumber of generated designs=1000, Number of top designs for averaging=10, Number of runs=5, Score normalization method=min-max2024.100.5———
COMsSampling=Top 1% (avg top 10 of 1000), Trials=5 runs2024.100.5———
COMs2024.100.5———
RWRNumber of generated designs=1000, Number of top designs for averaging=10, Number of runs=5, Score normalization method=min-max2024.100.31———
RWRSampling=Top 1% (avg top 10 of 1000), Trials=5 runs2024.100.31———
RWR2024.100.31———
Grad.Asc.Number of generated designs=1000, Number of top designs for averaging=10, Number of runs=5, Score normalization method=min-max2024.100———
IOMNumber of generated designs=1000, Number of top designs for averaging=10, Number of runs=5, Score normalization method=min-max2024.100———
DDOMNumber of generated designs=1000, Number of top designs for averaging=10, Number of runs=5, Score normalization method=min-max2024.100———
TransformerNumber of generated designs=1000, Number of top designs for averaging=10, Number of runs=5, Score normalization method=min-max2024.100———
Grad.Asc.Sampling=Top 1% (avg top 10 of 1000), Trials=5 runs2024.100———
DDOMSampling=Top 1% (avg top 10 of 1000), Trials=5 runs2024.100———
TransformerSampling=Top 1% (avg top 10 of 1000), Trials=5 runs2024.100———
Grad.Asc.2024.100———
IOM2024.100———
DDOM2024.100———
Transformer2024.100———
Cliqueformernumber of designs=128, averaging=5 runs2024.10———0.65
COMsnumber of designs=128, averaging=5 runs2024.10———0.49
DDOMnumber of designs=128, averaging=5 runs2024.10———0
Grad.Asc.number of designs=128, averaging=5 runs2024.10———0
RWRnumber of designs=128, averaging=5 runs2024.10———0
Transformernumber of designs=128, averaging=5 runs2024.10———0