Raymond Hemmecke

Combinatorial Optimization

Zentrum Mathematik, M9
Technische Universität München
D-85748 Garching bei München
Tel.: +49 89 289-
Fax: +49 89 289-16859
CV + publications
Research Interests
Linear/nonlinear discrete optimization
Algorithmic discrete mathematics
Computational algebra
Algebraic statistics
Structural biology/chemistry
Information theory and machine learning
Optimal operation of water distribution networks
Book cover 


Software: 4ti2  | LattE for tea, too 

Recent Papers


Mentored work at TU Munich


eXIST Start-up Project/FLÜGGE program: Optimal storage of differently sized rectangular packages on round storage disks
Foto Automat
Automated warehouse systems with shelves have one major downside, they have a poor utilization of space. The Munich based startup Magazino developed a storage system which reduces this problem by eliminating the area for the handling system. The storage of various goods, usually differently sized rectangular packages, will be on round storage disks. One way of increasing the utilization of space, is an optimized algorithm of how to position differently sized rectangular packages on the round disks.
People: Prof. Dr. Raymond Hemmecke
Partners: Magazino – simple storage  (startup of TUM), Institute for Industrial Design, Institute for Materials Handling, Material Flow, Logistics
Period: 2012 - 2014

Optimal operation of water distribution networks
Foto Network
A water distribution network is a system containing engineered hydraulic components to provide water supply to consumers. The main task in operating a water distribution network is to choose different sources of water and determine a configuration of pumps and valves to satisfy reliable customer demands. The cost of water, energy, and the number of pump switches should be minimized. Mathematically, the operation problem can be modeled as a mixed integer nonlinear program (MINLP) involving nonconvex constraints and objective. We aim at solving them to global optimality.
People: Prof. Dr. Raymond Hemmecke, Dipl.-Math. Dipl.-Inf. Wei Huang
Partners: Dr. Harald Held (Siemens AG, Corporate Technology, Munich)
Period: 2011 - 2014

Former group members and guests