RL-SPH is an RL-based start primal heuristic that learns to turn infeasible starting points into feasible integer linear programming solutions, including problems with non-binary integers.
Mixed-integer linear optimization via learning-based two-layer large neighborhood search
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RL-SPH: Learning to Achieve Feasible Solutions for Integer Linear Programs
RL-SPH is an RL-based start primal heuristic that learns to turn infeasible starting points into feasible integer linear programming solutions, including problems with non-binary integers.