Events
AdONE Seminar: Prof. Marc Goerigk (Universität Passau)
When trying to solve an optimization problem with multiple scenarios for the objective function, it is not clear what a ``best'' solution means. Different criteria and approaches exist, such as trying to find all Pareto-efficient solutions, or a solution that performs best in the worst case over all scenarios. Optimization criteria based on sorting the objective values achieved over the scenarios, known as ordered weighted averaging (OWA), have been known for decades, but has seen a rise in recent interest. In this talk, I discuss the OWA operator, relate it to multi-criteria and robust optimization, and discuss recent progress regarding approximability and extensions to other types of uncertainty sets.