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Raymond Hemmecke

Combinatorial Optimization

Zentrum Mathematik, M9 Technische Universität München D-85748 Garching bei München Office: Tel.: +49 89 289- Fax: +49 89 289-16859 E-Mail: hemmecke@ma.tum.de 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

Recent/Upcoming

• 1st Sino-German Symposium on Operations Research (Spitzingsee, Germany, September 23-25, 2013) 
• Computer algebra meeting 2014 (Kassel, Germany, May 15-17, 2014) 
• SIOPT 2014 (San Diego, CA, USA, May 19-22, 2014) 
• Workshop "Algebraic Statistics" (Prague, Czech Republic, August 25-29, 2014) 

Software: 4ti2  | LattE for tea, too 

Recent Papers

Teaching

Mentored work at TU Munich

Projects

eXIST Start-up Project/FLÜGGE program: Optimal storage of differently sized rectangular packages on round storage disks
	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
	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

• Elisabeth Finhold (doctoral student, TopMath program)
  • Optimality certificates in integer programming
• Wei Huang (doctoral student)
• Tobias Windisch (doctoral student)
• Frederik Brantner (1/2 position, FLÜGGE-program), Magazino – simple storage 
• Lukas Zanger (1/2 position, FLÜGGE-program), Magazino – simple storage 
• Nikolas Engelhard (1/2 position, FLÜGGE-program), Magazino – simple storage 
• Thomas Kahle  (postdoc)
• Jesus De Loera (UC Davis, USA), John-von-Neumann professor 2013 
• Silvia Lindner (doctoral student, degree in 2012)
  • Discrete Optimisation in Machine Learning --- Learning of Bayesian Network Structures and Conditional Independence Implication