Best paper award 2021 of the Journal of Global Optimization, honorable mentioning for the paper An algorithmic approach to multiobjective optimization with decision uncertainty authored by Gabriele Eichfelder, Julia Niebling and Stefan Rockäschel.
Lecture Series on the topic "Computational Methods in Multiobjective Optimization" for the PhD students of the Vienna Graduate School on Computational Optimization, Vienna, Dezember 2021
Prof. Eichfelder was invited to give a plenary talk at the "Australian and New Zealand Industrial and Applied Mathematics Annual Conference - ANZIAM 2021", 31 January - 4 February 2021 at RACV Cape Shanck Resort, Victoria, Australia.
Since June 2020, Mr. Ernest Quintana has been working on the new BMWi project "Int2Grids: Integration of intelligent neighbourhood networks into integrated networks: Investigation of the influence of uncertainties for the development of a robust multi-objective optimisation" which runs until 2023. Here the project page of one of our cooperation partners Offis and here the press release of the TU Ilmenau.
Together with other colleagues, Prof. Eichfelder is a member of the organization team and the Scientific Committee of the German-Polish Conference on Optimization ( GPCO ) organized by Prof. Andreas Löhne. The conference was scheduled to take place in Apolda near Jena in September 2020 and has now been postponed to 2022.
Prof. Eichfelder is a member of the Program Committee of the 18th EUROPT Workshop on Advances in Continuous Optimization (EUROPT 2021), July 2021, Toulouse, France. She is the organizer of a session on "Mixed Integer Multiobjective Optimization" (with Marianna De Santis) and two sessions on "Multiobjective Optimization".
Prof. Eichfelder was invited to give a plenary talk at the Seventh IMA Conference on Numerical Linear Algebra and Optimization, June 2020 at the University of Birrmingham, UK, which has now been postponed to 29 June - 1 July in 2022.
Since October 2020 Mr. Leo Warnow is working on the DFG project "Mixed-integer nonlinear multiobjective optimization". The goal of this project is the development of mathematical methods for the numerical solution of mixed-integer nonlinear multiobjective optimization problems (MOMIPs). These optimization problems belong to the class of non-convex optimization problems because of the integer variables. Therefore, techniques of global optimization are applied and the development of efficient methods is a big challenge.
Since October 2018 Mr. Stefan Rocktäschel is working on the DFG project "Algorithmic approaches to set optimization". With this project it is our goal to make significant contributions to the further development of set optimization by developing theoretical results that are directly used for algorithmic implementations. A completely new approach is chosen, where suitable multiobjective optimization problems (MOPs) are formulated, which are then solved using parameter-dependent scalar replacement problems.