MKP
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Multi-objective Optimization | MKP | Normalized HV1.022 | 37 | |
| Multidimensional Knapsack Problem | MKP | Objective Value103.58 | 24 | |
| Multi-dimensional Knapsack Problem | MKP N=100, m=5 | Objective Value22.05 | 21 | |
| Multi-dimensional Knapsack Problem | MKP 200 | Objective Value42.9 | 12 | |
| Multi-dimensional Knapsack Problem | MKP 100 | Objective Value23.33 | 12 | |
| Multidimensional Knapsack Problem | MKP N=200 m=5 (test) | Objective Value42.542 | 11 | |
| Multi-objective Optimization | MKP 100-dim | Normalized HV1.0169 | 7 | |
| Multi-objective Optimization | MKP 64-dim | Normalized HV1.0105 | 7 | |
| Multi-objective Optimization | MKP 48-dim | Normalized HV1.0067 | 7 | |
| Multi-objective Optimization | MKP 32-dim | Normalized HV98.93 | 7 | |
| Multi-dimensional Knapsack Problem | MKP N=100, m=5 64 independent instances (test) | Objective Value23.294 | 6 | |
| Multidimensional Knapsack Problem | MKP N=500 | Objective Value104.241 | 5 | |
| Multidimensional Knapsack Problem | MKP N=1000 m=5 (test) | Objective Value193.416 | 5 | |
| Multidimensional Knapsack Problem | MKP N=500 m=5 (test) | Objective Value104.942 | 5 | |
| Multidimensional Knapsack Problem | MKP N=300 m=5 (test) | Objective Value58.159 | 5 | |
| Multi-dimensional Knapsack Problem | MKP N=300, m=5 | Objective Value58.159 | 3 |
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