Offline Data-driven Multi-Objective Optimization on DTLZ1-DTLZ7 and Omnitest Suite
2.42Overall RanksGPR(Matern)+DR
Evaluation Results
| Method | Links | |
|---|---|---|
| GPR(Matern)+DRTraining sample size=1,000, Dual-ranking (DR) strategy=true, tau parameter=0.9, Base optimization algorithm=NSGA-II (omitted)2025.11 | 2.42 | |
| GPR(RBF)+DRTraining sample size=1,000, Dual-ranking (DR) strategy=true, tau parameter=0.9, Base optimization algorithm=NSGA-II (omitted)2025.11 | 2.5 | |
| GPR(Matern)+DROptimizer=NSGA-II, Dual-ranking (DR) strategy=true, Tau (τ)=0.9, Kernel=Matern2025.11 | 3.25 | |
| IBEA-MSOptimizer=NSGA-II, Dual-ranking (DR) strategy=true, Tau (τ)=0.92025.11 | 3.38 | |
| IBEA-MSTraining sample size=1,000, Dual-ranking (DR) strategy=false, tau parameter=0.9, Base optimization algorithm=NSGA-II (omitted)2025.11 | 3.48 | |
| TGPR-MOOptimizer=NSGA-II, Dual-ranking (DR) strategy=true, Tau (τ)=0.92025.11 | 3.5 | |
| QR+DRTraining sample size=1,000, Dual-ranking (DR) strategy=true, tau parameter=0.9, Base optimization algorithm=NSGA-II (omitted)2025.11 | 3.5 | |
| TGPR-MOTraining sample size=1,000, Dual-ranking (DR) strategy=false, tau parameter=0.9, Base optimization algorithm=NSGA-II (omitted)2025.11 | 4.25 | |
| GPR(RBF)+DROptimizer=NSGA-II, Dual-ranking (DR) strategy=true, Tau (τ)=0.9, Kernel=RBF2025.11 | 4.67 | |
| Prob-RVEAOptimizer=NSGA-II, Dual-ranking (DR) strategy=true, Tau (τ)=0.92025.11 | 5.17 | |
| QR+DROptimizer=NSGA-II, Dual-ranking (DR) strategy=true, Tau (τ)=0.92025.11 | 5.17 | |
| DDMOEA/GANTraining sample size=1,000, Dual-ranking (DR) strategy=false, tau parameter=0.9, Base optimization algorithm=NSGA-II (omitted)2025.11 | 5.92 | |
| DDMOEA/GANOptimizer=NSGA-II, Dual-ranking (DR) strategy=true, Tau (τ)=0.92025.11 | 6 | |
| BNN+DRTraining sample size=1,000, Dual-ranking (DR) strategy=true, tau parameter=0.9, Base optimization algorithm=NSGA-II (omitted)2025.11 | 6.04 | |
| Prob-MOEA/DOptimizer=NSGA-II, Dual-ranking (DR) strategy=true, Tau (τ)=0.92025.11 | 6.12 | |
| BNN+DROptimizer=NSGA-II, Dual-ranking (DR) strategy=true, Tau (τ)=0.92025.11 | 6.38 | |
| Prob-MOEA/DTraining sample size=1,000, Dual-ranking (DR) strategy=false, tau parameter=0.9, Base optimization algorithm=NSGA-II (omitted)2025.11 | 7.21 | |
| Prob-RVEATraining sample size=1,000, Dual-ranking (DR) strategy=false, tau parameter=0.9, Base optimization algorithm=NSGA-II (omitted)2025.11 | 7.71 |