| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| KP N=200, W=25 | Objective Value57.45 | 19 | 4d ago | ||
| KP N=100, W=25 | Objective Value40.271 | 19 | 4d ago | ||
| KP N=50, W=12.5 | Objective Value20.04 | 19 | 4d ago | ||
| Knapsack Problem N=1000 | BQ-NCO | Average Value257.224 | 12 | 4d ago | |
| Knapsack Problem N=500 | POMO | Average Value181.87 | 12 | 4d ago | |
| Knapsack Problem N=200 | BQ-NCO | Average Value99.694 | 12 | 4d ago | |
| Knapsack Problem N=500, W=25 | Objective Value90.969 | 11 | 4d ago | ||
| Knapsack Problem | SGE | Cost Improvement (%)70.39 | 8 | 4d ago | |
| Synthetic 0-1 Knapsack Problem (test) | OR Solver Objective Value36,531 | 6 | 4d ago | ||
| Ferro-titanium industrial application | Solver Objective Value2,779 | 6 | 4d ago | ||
| KP N=50, W=12.5 (test) | Objective Value20.089 | 5 | 4d ago | ||
| KP n = 100 (test) | Objective Value40.437 | 5 | 4d ago | ||
| KP N=500, W=25 (test) | Objective Value90.763 | 3 | 4d ago | ||
| Knapsack Problem (All) | BQ-NCO | Optimality Gap0.516 | 3 | 4d ago |
