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decompbench-method-selector

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decompbench
decomposition-method-selector
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DecompBench Method Selector

Feature-calibrated method selector for large-scale optimization decomposition.

Intended Use

Recommends a decomposition strategy (Benders, Dantzig-Wolfe, Column Generation, Lagrangian, Progressive Hedging, ADMM) from instance structure features.

Input Features

  • n_master_variables, n_sub_variables, n_coupling_constraints
  • n_scenarios, block_angularity, constraint_density, decomposability_score

Artifacts

  • selector_weights.json — scoring weights
  • config.json — model metadata

Limitations

Calibrated on synthetic instances. Validate on production models before deployment.

Space

https://huggingface.co/spaces/alirezaaminzadeh/large-scale-optimization-decomposition-lab

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