Multi-objective Optimization on WFG4 4-objective
0.8877Median HypervolumeNSGA-III-IR2-RF
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| NSGA-III-IR2-RFProblem=WFG2-4, Generation=402020.11 | 0.8877 | 0.0001 | 52 | 30 | |
| NSGA-IIIProblem=WFG2-4, Generation=402020.11 | 0.8638 | — | — | — | |
| NSGA-III-IR2-RFProblem=WFG3-4, Generation=402020.11 | 0.5297 | 0 | 65 | 62.5 | |
| NSGA-IIIProblem=WFG3-4, Generation=402020.11 | 0.5071 | — | — | — | |
| NSGA-III-IR2-RFProblem=WFG4-4, Generation=402020.11 | 0.4585 | 0 | 79 | 97.5 | |
| NSGA-III-IR2-RFProblem=WFG7-4, Generation=402020.11 | 0.446 | 0 | 68 | 70 | |
| NSGA-III-IR2-RFProblem=WFG9-4, Generation=402020.11 | 0.4238 | 0.0104 | 48 | 20 | |
| NSGA-IIIProblem=WFG9-4, Generation=402020.11 | 0.4102 | — | — | — | |
| NSGA-IIIProblem=WFG4-4, Generation=402020.11 | 0.4082 | — | — | — | |
| NSGA-III-IR2-RFProblem=WFG6-4, Generation=402020.11 | 0.4071 | 0 | 93 | 132.5 | |
| NSGA-IIIProblem=WFG7-4, Generation=402020.11 | 0.3797 | — | — | — | |
| NSGA-IIIProblem=WFG5-4, Generation=402020.11 | 0.3471 | — | — | — | |
| NSGA-III-IR2-RFProblem=WFG5-4, Generation=402020.11 | 0.3444 | 0.0973 | 40 | 0 | |
| NSGA-III-IR2-RFProblem=WFG8-4, Generation=402020.11 | 0.3318 | 0 | 60 | 50 | |
| NSGA-IIIProblem=WFG6-4, Generation=402020.11 | 0.3156 | — | — | — | |
| NSGA-IIIProblem=WFG8-4, Generation=402020.11 | 0.304 | — | — | — | |
| MOEA/D-IR2-RFGeneration (t)=402020.11 | 0.3003 | 0.0002 | 68 | 70 | |
| MOEA/DGeneration (t)=402020.11 | 0.2714 | — | — | — | |
| NSGA-IIIProblem=WFG1-4, Generation=402020.11 | 0.0574 | — | — | — | |
| NSGA-III-IR2-RFProblem=WFG1-4, Generation=402020.11 | 0.0521 | 0.651 | 38 | -5 |