Decomposition methods for mixed-integer optimal control (A05)

Subject Area Mathematics
Term since 2014
Project identifier Deutsche Forschungsgemeinschaft (DFG) - Project number 239904186
 

Project Description

In this subproject we study domain decomposition approaches for optimal control problems using the example of gas transport networks. Our main goal is to couple the space-time-domain decomposition method from the second phase with machine learning and mixed-integer programming techniques. To this end, we develop an interlinked data-driven and physics informed algorithm called NeTI (Network Tearing and Interconnection) that combines mixed-integer nonlinear programming, learning of surrogate models, and graph decomposition strategies.
DFG Programme CRC/Transregios
Subproject of TRR 154:  Mathematical modelling, simulation and optimization using the example of gas networks
Applicant Institution Friedrich-Alexander-Universität Erlangen-Nürnberg
Project Heads Professor Dr. Günter Leugering, until 6/2022; Professor Dr. Alexander Martin; Professor Dr. Sebastian Pokutta; Professor Dr. Martin Schmidt, until 6/2022