KP
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Knapsack Problem | KP N=200, W=25 | Objective Value57.45 | 19 | |
| Knapsack Problem | KP N=100, W=25 | Objective Value40.271 | 19 | |
| Knapsack Problem | KP N=50, W=12.5 | Objective Value20.04 | 19 | |
| Combinatorial Optimization | KP (Knapsack Problem) | Energy Consumption (J)425.98 | 9 | |
| Knapsack Problem | KP n=100 | Objective Value40.38 | 7 | |
| Knapsack Problem | KP n=50 | Objective Value20.086 | 7 | |
| Knapsack Problem | KP n=20 | Objective Value7.948 | 7 | |
| Semantic Segmentation | KP day-night 1.0 (evaluation set) | Road IoU99 | 6 | |
| Knapsack Problem | KP N=50, W=12.5 (test) | Objective Value20.089 | 5 | |
| Knapsack Problem | KP n = 100 (test) | Objective Value40.437 | 5 | |
| Knapsack Problem | KP N=500, W=25 (test) | Objective Value90.763 | 3 | |
| Optimization under Uncertainty | KP 50 items (test) | Metric- | 0 | |
| Decision-focused learning | KP-50 | Metric- | 0 |
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