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Constrained Optimization on Concentric Circles Dist. Min. objective

100FeasibilityProjected Gradient
22.93642.94362.9582.957Apr 3, 2026

Evaluation results

MethodLinks
Projected GradientMethod Category=Classical2026.0410024.360.4
FABMethod Category=ML-Based2026.0499.90.485.72
FSNetMethod Category=ML-Based2026.0499.12.039.72
Homeomorphic ProjectionMethod Category=ML-Based2026.0493.417314.08
Interior PointMethod Category=Classical2026.0492.644.1711.89
FAB: No DξMethod Category=ML-Based2026.0482.70.511.58
FAB: 3 Decoder NetsMethod Category=ML-Based2026.0482.50.711.25
FAB: 2 Decoder NetsMethod Category=ML-Based2026.0481.40.521.54
FAB: No Hinge LossMethod Category=ML-Based2026.0468.70.517.08
Penalty NNMethod Category=ML-Based2026.0451.60.140.97
Augmented LagrangianMethod Category=Classical2026.0449.343.935.7
Penalty MethodMethod Category=Classical2026.044940.055.55
FAB: Phase 1 OnlyMethod Category=ML-Based2026.0425.90.514.61