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Author

Andrea Lodi

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#machine learning Preprint Oct 2026

When Solvers Get Moody: Quantifying and Predicting Performance Variability in Mixed Integer Programming

Mixed-integer programming (MIP) solvers are widely used, yet their performance can vary substantially even under seemingly neutral perturbations. Such variability complicates benchmarking, and the interpretation of computational studies. We introduce the Weighted Variability Score (WVS), a robust multi-component metric...

Mourchid Adegbindin, Brenda L Dietrich, Jamol J. Pender et al. · 1 citation

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