Research map / Learning theory and algorithms / Combinatorial and search optimization
L2P-MIP: Learning to Presolve for Mixed Integer Programming
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Learns instance-specific presolving decisions for mixed integer programming to simplify instances before branch-and-bound.
Problem
Presolving techniques in MIP solvers are usually set by default regardless of the input instance, and little work has studied instance-specific presolve configuration before branch-and-bound.
Approach
Learns to select presolving techniques per instance (L2P-MIP), replacing fixed solver defaults with a learned, instance-aware presolver for MIP pre-processing before B&B.
Closest papers by meaning
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