A Consistency-Centric Approach to Set-Based Optimization with Multiple Models of Unranked Fidelity

ArXi:2605.04051v1 Announce Type: cross In complex real-world settings, optimization is challenged by the presence of diverse models of differing fidelity. In many optimization problems, a single model is treated as the most accurate representation of the underlying system, while other models are evaluated primarily by their agreement with this presumed most accurate model. Yet in real-world applications, model accuracy is rarely known a priori and assuming a single most accurate model can be misleading.