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Constraint acquisition needs better benchmarks

cs.AI updates on arXiv.org·
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A new benchmark suite called MPMMine has been introduced to improve the assessment of Constraint Acquisition (CA) algorithms in Mathematical Programming (MP) by addressing the limitations of existing benchmarks. This development aims to enhance reproducibility and comparability across studies, potentially accelerating advancements in CA methods.

Key Topics

MPMMineConstraint AcquisitionMathematical ProgrammingMiniZinc

Originally reported by cs.AI updates on arXiv.org. Read the full article ↗

Constraint acquisition needs better benchmarks | AI Crypto Daily Wire