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Eindhoven University of Technology
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Mamba's linear complexity lets you ditch computationally intensive graph attention for flexible job shop scheduling, achieving state-of-the-art performance with faster solving speeds.
Neural routing solvers can now efficiently tackle hard constraints thanks to Construct-and-Refine (CaR), which slashes the refinement steps needed by 500x while boosting solution quality.