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cs.LG2024
Towards Robust Interpretable Surrogates for Optimization
Marc Goerigk, Michael Hartisch, Sebastian Merten
An important factor in the practical implementation of optimization models is the acceptance by the intended users. This is influenced among other factors by the interpretability o…
math.OC2024
Feature-Based Interpretable Surrogates for Optimization
Marc Goerigk, Michael Hartisch, Sebastian Merten +1
For optimization models to be used in practice, it is crucial that users trust the results. A key factor in this aspect is the interpretability of the solution process. A previous…