List your company

Offline Multi-Objective Optimization on Off-MOO-Bench

4.63Avg Rank (Overall)DOMOO
4.25886.76449.2711.7756Jun 3, 2026Jun 4, 2026Jun 6, 2026Jun 8, 2026Jun 9, 2026Jun 11, 2026Jun 13, 2026

Evaluation results

MethodLinks
DOMOO2026.064.633.896.656.833.26—————3.6
MultipleModels-IOMMethod Category=Surrogate-based Forward Methods2026.066.257.126.0655.829.73-4.0319.7111.1212.1—
DOMOO2026.066.27——————————
Multiple ModelsConstraint Method=IOM2026.066.417.365.965.726.38—————3.5
MultipleModels-VallinaMethod Category=Surrogate-based Forward Methods2026.066.623.819.2811.675.432.26-11.21-13.210.358.27—
Multiple ModelsExtension=IOM2026.066.63——————————
Multiple Models2026.066.676.246.639.186.37—————7.4
ParetoPilotMethod Category=Zero-Surrogate Generative Inverse Methods2026.066.81935.679.2725.23-1.7920.287.4510.46—
End-to-End2026.066.817.466.098.256.77—————4.1
Multi Head2026.066.836.886.039.556.28—————10.2
MultipleModels-ICTMethod Category=Surrogate-based Forward Methods2026.066.96.628.0685.629.49-9.5115.5311.5210—
MultiHead-VallinaMethod Category=Surrogate-based Forward Methods2026.066.963.6910.56144.7329.97-12.074.9510.968.56—
PGD-MOOMethod Category=Surrogate-based Generative Inverse Methods2026.067.0811.121.67110.474.380.3728.636.65.04—
End-to-End2026.067.12——————————
End2End-PcGradMethod Category=Surrogate-based Forward Methods2026.067.155.1210.786.675.0730.99-12.3111.6411.149.16—
End2End-VallinaMethod Category=Surrogate-based Forward Methods2026.067.194.199.7211.676.4732.09-11.14-12.639.347.98—
Multiple Models2026.067.2——————————
Multi Head2026.067.24——————————
MultipleModels-TriMentoringMethod Category=Surrogate-based Forward Methods2026.067.499.226.673.6727.61-9.9217.7811.569.42—
MOBO2026.067.41——————————
End-to-EndMulti-Objective Strategy=PcGrad2026.067.56.857.237.178.22—————10.7
MOBO2026.067.6210.235.025.938.91——————
End-to-EndOptimization=PcGrad2026.067.71——————————
Multi HeadOptimization=PcGrad2026.067.96——————————
Multi HeadMulti-Objective Strategy=PcGrad2026.067.987.946.767.29.49—————8.7
MultiHead-PcGradMethod Category=Surrogate-based Forward Methods2026.068.157.6910.229.675.8727.31-11.0111.2211.078.43—
ParetoFlowMethod Category=Surrogate-based Generative Inverse Methods2026.068.1511.06510.678.3327.58-3.3-3.038.959.75—
ParetoFlow2026.068.2——————————
Multiple ModelsConstraint Method=COMs2026.068.39.46.635.1210.72—————1.9
Multiple ModelsExtension=COMs2026.068.38——————————
Multiple ModelsExtension=RoMA2026.068.4——————————
Multiple ModelsConstraint Method=ICT2026.068.59.389.536.66.8—————9.1
Multiple ModelsExtension=ICT2026.068.55——————————
Multiple ModelsConstraint Method=RoMA2026.068.569.96.917.39.45—————6.1
MultipleModels-COMMethod Category=Surrogate-based Forward Methods2026.068.5810.314.44512.419.12-1.4818.64.277.68—
MultipleModels-RoMAMethod Category=Surrogate-based Forward Methods2026.068.8899.7258.5324.63-12.7219.129.477.01—
Multiple ModelsConstraint Method=Tri-Mentoring2026.068.939.4410.499.936.4—————8.5
MOBOAcquisition Function=qParEGO2026.069.07——————————
Multiple ModelsExtension=Tri-Mentoring2026.069.32——————————
D(best)2026.069.71——————————
MultiHead-GradNormMethod Category=Surrogate-based Forward Methods2026.0610.049.3111.39128.819.56-15.46-1.796.52.44—
End2End-GradNormMethod Category=Surrogate-based Forward Methods2026.0610.129.4410.677.3310.7327.82-13.912.479.027.07—
ParetoFlow2026.0610.199.1811.3113.589.04—————9.83
MOBO-qParEGO2026.0610.8410.512.812.18.76——————
End-to-EndOptimization=GradNorm2026.0610.9——————————
End-to-EndMulti-Objective Strategy=GradNorm2026.0610.979.9611.719.8811.55—————12.3
Multi HeadOptimization=GradNorm2026.0611.1——————————
MOBOAcquisition Function=JES2026.0611.68——————————
Multi HeadMulti-Objective Strategy=GradNorm2026.0611.8910.913.1910.1212.22—————12.2
D(best)2026.0612.7311.7913.3711.5514.46—————6.8
MOBO-JES2026.0613.9115.81——12.02——————