AINeutralarXiv – CS AI · 6h ago6/10
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Position Paper: Post-Solve Robustness in Decision Engines: Feasible Regions and Smoothness Under Perturbations
Researchers propose a post-solve robustness framework for Mixed-Integer Linear Programming decision engines, addressing the gap between theoretical optimal solutions and real-world deployment where parameter perturbations can invalidate feasibility. The work calls for standardized auditing of solved problems to measure how solutions perform under small cost, demand, and resource variations.