Feasibility-aware imitation learning accelerates Benders decomposition by predicting feasible integer assignments in the master problem, improving solution times over prior imitation learning methods while retaining finite convergence.
A multicut generalized Benders decompo- sition approach for the integration of process operations and dynamic optimization for continuous systems,
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Feasibility-Aware Imitation Learning for Benders Decomposition
Feasibility-aware imitation learning accelerates Benders decomposition by predicting feasible integer assignments in the master problem, improving solution times over prior imitation learning methods while retaining finite convergence.