AI Research
MILP-Evo: Closed-Loop Fully Automatic Design of MILP Solvers
Machine learning methods have shown that data-driven policies can accelerate mixed-integer linear programming (MILP) solvers, but many such approaches remain difficult to inspect, adapt, and deploy because the learned policy is represented as an external predictor or other opaque...
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ArXiv CS.AI
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ArXiv CS.AI
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This research introduces a novel closed-loop framework that uses LLMs to automatically evolve MILP solver logic, moving beyond opaque machine learning models. The approach generates inspectable and deployable solver components, demonstrating competitive performance on benchmark instances.
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