List your company

Mixed-Integer Linear Programming solving on Capacitated Facility Location 200x100 (Medium)

67Nodes ExploredDeepBound
49.64166.82284401.18Dec 10, 2025Dec 28, 2025Jan 16, 2026Feb 3, 2026Feb 22, 2026Mar 12, 2026Mar 31, 2026

Evaluation results

MethodLinks
DeepBoundTraining protocol=trained on easy instances only, Hardware=Intel Xeon Gold 6238R CPU + NVIDIA A100 GPU2026.016752.24157.56—
SCIP-BESTraining protocol=trained on easy instances only, Hardware=Intel Xeon Gold 6238R CPU2026.017659.3168.02—
XGBoostTraining protocol=trained on easy instances only, Hardware=Intel Xeon Gold 6238R CPU2026.018155.93164.97—
He et al.Training protocol=trained on easy instances only, Hardware=Intel Xeon Gold 6238R CPU2026.018357.19169.33—
Heuristic BaselineBaseline Comparison=Subgraph + Rank2025.12117—126—
SCIP2026.03138—189100
Heuristic BaselineBaseline Comparison=MPNN + Rank2025.12142—136—
Heuristic BaselineBaseline Comparison=MPNN + Scores2025.12150—136—
Heuristic BaselineBaseline Comparison=Subgraph + Scores2025.12157—144—
Heuristic BaselineBaseline Comparison=MPNN + Pairwise2025.12158—148—
Heuristic BaselineBaseline Comparison=Subgraph + Pairwise2025.12202—151—
VFS2026.03257—43095
QL2026.03315—144100
QS2026.03322—147100
GNN-C2026.03336—182100
GNN-G2026.03336—158100
MPNNLoss Function=Rank2025.12362—115—
MPNNLoss Function=Pairwise2025.12377—125—
MPNNLoss Function=Scores (Regression)2025.12389—121—
Subgraph GNNLoss Function=Rank2025.12392—129—
Subgraph GNNLoss Function=Scores (Regression)2025.12492—157—
Subgraph GNNLoss Function=Pairwise2025.12501—146—