| { | |
| "method_bias": { | |
| "benders": { | |
| "block_angularity": 0.35, | |
| "n_master_variables": 0.0008, | |
| "decomposability_score": 0.4 | |
| }, | |
| "dantzig_wolfe": { | |
| "block_angularity": 0.45, | |
| "n_sub_variables": 0.0004, | |
| "decomposability_score": 0.35 | |
| }, | |
| "column_generation": { | |
| "n_sub_variables": 0.0006, | |
| "constraint_density": -0.2, | |
| "decomposability_score": 0.25 | |
| }, | |
| "lagrangian_relaxation": { | |
| "n_coupling_constraints": 0.02, | |
| "constraint_density": 0.25 | |
| }, | |
| "progressive_hedging": { | |
| "n_scenarios": 0.12, | |
| "block_angularity": 0.2 | |
| }, | |
| "admm": { | |
| "decomposability_score": 0.45, | |
| "n_master_variables": 0.0005 | |
| }, | |
| "direct": { | |
| "n_master_variables": -0.001, | |
| "n_sub_variables": -0.0003, | |
| "decomposability_score": -0.5 | |
| } | |
| }, | |
| "problem_bonus": { | |
| "supply_chain": { | |
| "benders": 0.35, | |
| "lagrangian_relaxation": 0.35, | |
| "column_generation": 0.35 | |
| }, | |
| "multi_factory": { | |
| "benders": 0.35, | |
| "dantzig_wolfe": 0.35, | |
| "admm": 0.35 | |
| }, | |
| "large_routing": { | |
| "column_generation": 0.35, | |
| "dantzig_wolfe": 0.35, | |
| "lagrangian_relaxation": 0.35 | |
| }, | |
| "multi_stage_scheduling": { | |
| "lagrangian_relaxation": 0.35, | |
| "benders": 0.35, | |
| "admm": 0.35 | |
| }, | |
| "energy_planning": { | |
| "progressive_hedging": 0.35, | |
| "benders": 0.35, | |
| "lagrangian_relaxation": 0.35 | |
| }, | |
| "fleet_allocation": { | |
| "admm": 0.35, | |
| "progressive_hedging": 0.35, | |
| "column_generation": 0.35 | |
| }, | |
| "network_design": { | |
| "benders": 0.35, | |
| "admm": 0.35, | |
| "column_generation": 0.35 | |
| } | |
| } | |
| } |