Christiane Tammer

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At rst we introduce diierent solution concepts for general vector optimization problems and summarize some relations between them. Further, we apply these solution concepts to vectorial fractional optimization problems and show that the well-known Dinkelbach-transformation can be generalized in the sense, that even in vector optimization exact as well as(More)
Our goal in this talk is to present unifying concepts for both stochastic and robust optimization problems involving infinite uncertainty sets. We apply methods from vector optimization in general spaces, set-valued optimization and scalarization techniques to develop a unified characterization of different concepts of robust optimization and stochastic(More)