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ResearchFormerly WizWand

Multi-objective Optimization on NK-landscape

0.15Hypervolume (HV)VS-RLS
0.0705440.0911720.11180.132428Feb 5, 2026
Updated 8mo ago

Evaluation results

MethodLinks
VS-RLSeval.=2 x 10^6, D=1002026.020.15
VS-RLSeval.=5 x 10^6, D=1002026.020.15
SMS-EMOAeval.=5 x 10^6, D=1002026.020.147
NSGA-IIeval.=5 x 10^6, D=1002026.020.146
VS-RLSeval.=5 x 10^5, D=1002026.020.145
NSGA-IIeval.=2 x 10^6, D=1002026.020.145
SMS-EMOAeval.=2 x 10^6, D=1002026.020.145
MOEA/Deval.=5 x 10^6, D=1002026.020.145
SMS-EMOAeval.=5 x 10^5, D=1002026.020.143
SEMOeval.=2 x 10^6, D=1002026.020.143
SEMOeval.=1 x 10^5, D=1002026.020.142
MOEA/Deval.=5 x 10^5, D=1002026.020.142
MOEA/Deval.=2 x 10^6, D=1002026.020.142
NSGA-IIeval.=5 x 10^5, D=1002026.020.141
SEMOeval.=5 x 10^6, D=1002026.020.141
SEMOeval.=5 x 10^5, D=1002026.020.14
MOEA/Deval.=1 x 10^5, D=1002026.020.137
VS-RLSeval.=1 x 10^5, D=1002026.020.136
NSGA-IIeval.=1 x 10^5, D=1002026.020.134
SMS-EMOAeval.=1 x 10^5, D=1002026.020.134
PLSeval.=5 x 10^5, D=1002026.020.114
PLSeval.=5 x 10^6, D=1002026.020.114
PLSeval.=2 x 10^6, D=1002026.020.112
PLSeval.=1 x 10^5, D=1002026.020.109
RSeval.=5 x 10^6, D=1002026.020.0851
RSeval.=2 x 10^6, D=1002026.020.0821
RSeval.=5 x 10^5, D=1002026.020.078
RSeval.=1 x 10^5, D=1002026.020.0736