10 citations · 42 across the 47 of their papers we have counts for
4 papers · 1 filter
Robust Min-Max (Regret) Optimization using Ordered Weighted Averaging
Werner Baak, Marc Goerigk, Adam Kasperski +1
In decision-making under uncertainty, several criteria have been studied to aggregate the performance of a solution over multiple possible scenarios. This paper introduces a novel…
A Framework for Data-Driven Explainability in Mathematical Optimization
Kevin-Martin Aigner, Marc Goerigk, Michael Hartisch +2
Advancements in mathematical programming have made it possible to efficiently tackle large-scale real-world problems that were deemed intractable just a few decades ago. However, p…
Robust Combinatorial Optimization Problems Under Budgeted Interdiction Uncertainty
Marc Goerigk, Mohammad Khosravi
In robust combinatorial optimization, we would like to find a solution that performs well under all realizations of an uncertainty set of possible parameter values. How we model th…
Robust optimization with belief functions
Marc Goerigk, Romain Guillaume, Adam Kasperski +1
In this paper, an optimization problem with uncertain objective function coefficients is considered. The uncertainty is specified by providing a discrete scenario set, containing p…