Multi-objective Optimization on Knapsack
95,200,000HypervolumeVS-RLS
Evaluation results
| Method | Links | |
|---|---|---|
| VS-RLSeval.=5 x 10^6, D=5002026.02 | 95,200,000 | |
| NSGA-IIeval.=5 x 10^6, D=5002026.02 | 94,100,000 | |
| SEMOeval.=5 x 10^6, D=5002026.02 | 93,900,000 | |
| MOEA/Deval.=5 x 10^6, D=5002026.02 | 93,800,000 | |
| VS-RLSeval.=2 x 10^6, D=5002026.02 | 93,500,000 | |
| MOEA/Deval.=2 x 10^6, D=5002026.02 | 92,200,000 | |
| SEMOeval.=2 x 10^6, D=5002026.02 | 92,100,000 | |
| NSGA-IIeval.=2 x 10^6, D=5002026.02 | 91,900,000 | |
| SMS-EMOAeval.=5 x 10^6, D=5002026.02 | 91,000,000 | |
| VS-RLSeval.=5 x 10^5, D=5002026.02 | 89,900,000 | |
| MOEA/Deval.=5 x 10^5, D=5002026.02 | 89,300,000 | |
| SMS-EMOAeval.=2 x 10^6, D=5002026.02 | 89,200,000 | |
| SEMOeval.=5 x 10^5, D=5002026.02 | 88,800,000 | |
| NSGA-IIeval.=5 x 10^5, D=5002026.02 | 88,300,000 | |
| SMS-EMOAeval.=5 x 10^5, D=5002026.02 | 87,000,000 | |
| MOEA/Deval.=1 x 10^5, D=5002026.02 | 84,600,000 | |
| SEMOeval.=1 x 10^5, D=5002026.02 | 84,600,000 | |
| NSGA-IIeval.=1 x 10^5, D=5002026.02 | 84,500,000 | |
| SMS-EMOAeval.=1 x 10^5, D=5002026.02 | 84,400,000 | |
| VS-RLSeval.=1 x 10^5, D=5002026.02 | 70,600,000 | |
| PLSeval.=5 x 10^6, D=5002026.02 | 57,100,000 | |
| PLSeval.=2 x 10^6, D=5002026.02 | 38,100,000 | |
| RSeval.=5 x 10^6, D=5002026.02 | 35,300,000 | |
| RSeval.=2 x 10^6, D=5002026.02 | 34,500,000 | |
| RSeval.=5 x 10^5, D=5002026.02 | 33,100,000 | |
| RSeval.=1 x 10^5, D=5002026.02 | 31,500,000 | |
| PLSeval.=5 x 10^5, D=5002026.02 | 26,800,000 | |
| PLSeval.=1 x 10^5, D=5002026.02 | 24,000,000 |