Learning Optimization Solvers on Randomly generated constrained optimization dataset (test)
-0.3494Objective ValueIPOPT
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| IPOPTTtest (MS)=19799.80002026.05 | -0.3494 | 0 | 0 | 0 | 0 | 0 | 0 | |
| CAFFNET-FFTtrain (MS)=1325.3800, Ttest (MS)=1298.67002026.05 | -0.3418 | 0 | 0 | 0 | 0 | 0 | 0 | |
| CAFFNET-FF (LITE)Ttrain (MS)=737.1600, Ttest (MS)=713.69002026.05 | -0.3418 | 0 | 0 | 0 | 0 | 0 | 0 | |
| HARDNETTtrain (MS)=7.3800, Ttest (MS)=2.11002026.05 | -0.3 | 0.0027 | 0.0006 | 3.24 | 0.0435 | 0.0258 | 99.99 | |
| CAFFNET-TFTtrain (MS)=1327.7900, Ttest (MS)=1299.95002026.05 | -0.1576 | 0 | 0 | 0 | 0 | 0 | 0 | |
| NNTtrain (MS)=4.2700, Ttest (MS)=1.23002026.05 | -0.1194 | 0.0018 | 0.0004 | 0.31 | 0.1136 | 0.0685 | 100 |