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Constrained Optimization on Concentric Circles Linear objective

100Feasibility (%)Projected Gradient
39.78455.41771.0586.683Apr 3, 2026

Evaluation results

MethodLinks
Projected GradientMethod Category=Classical2026.0410014.831.16
FABMethod Category=ML-Based2026.041000.381.48
FSNetMethod Category=ML-Based2026.0498.53.041.72
FAB: No DξMethod Category=ML-Based2026.0498.50.721.23
FAB: No Hinge LossMethod Category=ML-Based2026.0498.10.581.48
FAB: Phase 1 OnlyMethod Category=ML-Based2026.04980.541.12
FAB: 3 Decoder NetsMethod Category=ML-Based2026.0496.90.611.6
Penalty NNMethod Category=ML-Based2026.0496.20.141.06
Homeomorphic ProjectionMethod Category=ML-Based2026.0493.41682.56
FAB: 2 Decoder NetsMethod Category=ML-Based2026.0492.70.491.52
Interior PointMethod Category=Classical2026.0489.939.761.78
Penalty MethodMethod Category=Classical2026.0442.539.151.35
Augmented LagrangianMethod Category=Classical2026.0442.152.091.39