News from the group

You can find all current news here.

New software

BB-MOQIP is a solver for multiobjective quadratic integer problems and can now be downloaded from GitHub.

MOMIX is a solver for Multiobjective Mixed Integer Convex Optimization and can now be downloaded from GitHub .

Plenary talk

ALOP, Univ. Trier

Gabriele Eichfelder will give a keynote talk on "Direct Methods for Multiobjective Optimization" at the  Finnish Mathematical Days in Tampere, Finland in January 2022.

New SIOPT publication

The paper A Vectorization Scheme for Nonconvex Set Optimization Problems by Gabriele Eichfelder, Ernest Quintana and Stefan Rocktäschel was  accepted in January 2022 for publication in SIAM Journal on Optimization.

G. Eichfelder

Group for Mathematical Methods in Operations Research

The Group for Mathematical Methods in Operations Research is headed by Prof. Gabriele Eichfelder. In her team two employees holding a doctoral degree and three PhD students are currently working on a variety of different topics in the field of mathematical optimization, such as a numerical method for set optimization or on robust multiobjective optimization for the integration of intelligent neighbourhood networks into interconnected networks. The team members can be found here.


The Group for Mathematical Methods of Operations Research investigates mathematical programming problems theoretically as well as numerically. The focus is on continuous optimization problems, but also mixed-integer nonlinear problems are studied. The research topics are often motivated by problems from the engineering sciences or from work on industrial projects.

The main research topics are currently the theory of vector and set optimization, numerical methods for vector and set optimization, and thus also of multiobjective optimization, global optimization such as mixed-integer optimization, and optimization problems in applications. Further Information

TU Ilmenau
TU Ilmenau


We offer students a profound and broad education in the field of continuous optimization. This includes introductory courses on the basics of optimization for both students of mathematics as well as students of engineering or computer science, as well as a broad range of advanced and in-depth courses. These cover both more theoretical topics like optimization in infinite-dimensional vector spaces and more numerical topics like algorithmic methods of optimization.

In addition, we offer lectures on the basics of mathematics for business and engineering courses. For us, a high quality of teaching is important, which spans the arc from theoretical principles and scientific approaches to practical application. Further information