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math.OC2026
Mitigating Performance Variability in Mixed-Integer Programming Solvers via LP State Steering
Mourchid Adegbindin, Brenda Dietrich, Jamol Pender
Modern mixed-integer programming (MIP) solvers repeatedly solve linear programming (LP) relaxations, but the LP state transferred from the simplex algorithm to the branch-and-bound…
math.OC2026
When Solvers Get Moody: Quantifying and Predicting Performance Variability in Mixed Integer Programming
Mourchid Adegbindin, Brenda Dietrich, Jamol Pender +1
Mixed-integer programming (MIP) solvers are widely used, yet their performance can vary substantially even under seemingly neutral perturbations. Such variability complicates bench…