
MINOA

New Algorithms To Control Complex Systems More Effectively
Whether in logistics or in energy management – extremely short-term decisions are seldomly made by humans today. Highly intelligent machines that can control processes and systems in real time take care of this instead. The underlying software determines the best possible results in fractions of seconds by using complex mathematical calculations. Finding out how to achieve this is the task of mathematical optimisation. Optimising a system can be extremely challenging, for example if the system has to be described by complex physics laws, potentially combined with decisions such as whether the system requests the installation of a new power plant or not. It gets even more challenging if uncertainties come into play, for example due to future projections or because of seasonally varying requirements. This kind of situation frequently arises in practice, but because of its enormous complexity, it often cannot be handled by currently existing solution methods. While tremendous progress has been made for optimising simplified situations, limited problem classes or at a theoretical level, practically efficient implementation and successful application of new mathematical findings to real-life problems is still in its infancy.
The MINOA (Mixed-Integer Non-Linear Optimisation: Algorithms and Applications) Network intends to develop new and effective algorithms which can be integrated into numerous applications from the energy, logistics, engineering, natural sciences and data analytics sectors. It will also train the next generation of highly skilled researchers and managers in applied mathematics, operations research and computer science, who will be able to use these new methodologies and technologies and make a tremendous contribution to science, industry and society.
Project Overview
Contact

Prof. Dr. Frauke Liers
Professor for Discrete Optimisation in Engineering
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
91054 Erlangen, Germany
Tel.: +49 (0)9131 85-67161
E-Mail: frauke.liers@no-spam-pleasefau.de
Contact at BayFOR

Dipl.-Ing Robert Iberl
Scientific Officer Information & Communication Technologies |
Engineering & Natural Sciences
Phone: +49 89 9901888-131
Email: iberl@no-spam-pleasebayfor.org