Author

Chenguang Wang

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Preprint Aug 2026

Learning Early-to-Final Solution Consistency for MILP Acceleration

This paper finds that solutions produced at the early search stage of MILP solvers are often structurally close to the solutions found after full-budget search, and proposes a new solver-informed paradigm that shifts the learning target from variable assignment to early-to-final consistency.

Guanli Li, Chengrui Gao, Chenguang Wang et al. · 0 citations