Heidelberg Collaboratory for Industrial Optimization (HCO)

Modeling, simulation and optimization methods (MSO) of complex industrial processes have changed the way research and development is conducted in many industrial areas over the past three decades. Today, we observe that the available methods quickly evolve into an enabling technology. Goal of their use is typically the faster and more cost efficient development of products and processes, satisfying various constraints at the same time. Objectives are conservation of resources, energy minimization, safety and the reduction of pollutants under consideration of uncertainties.

Despite their proven advantages, MSO methods are not used to their full potential in many industrial areas. In particular, practitioners still restrict themselves unnecessarily to modeling and simulation, performing the optimization manually by trail and error in (computer) experiments. This manual searching, where often simplified, mostly decoupled systems are used, wastes potential and has a negative effect on future growth and competitiveness.

Leaders from industry therefore rightly demand optimization methods that help to achieve the promised potential of complex systems. The HCO accepts this challenge, aiming to meet current demand for optimization solutions and enabling a quick transition away from current simplified models and brute force methods.

A major goal of the HCO is to enable widespread use the methods, and lay the foundation to solve critical problems in industry and society by providing know-how, software and mathematical methods.

Core competencies of the HCO
* model validation
* inverse problems
* model based optimum experimental design
* simulation of ODEs, PDEs and DAEs
* nonlinear optimization
* mixed integer optimization
* optimal control
* optimization under uncertainties
* implementation of numerical algorithms
* software

Prototypical applications
* modeling of chemical reaction systems and reactors
* optimization of chemical plants under restrictions
* optimal control of chemical production processes
* calibration and optimal control of robots and other mechanical systems

Link to HCO website.

Research Groups ( in alphabetical order)

Scientific Computing (Prof. Dr. Peter Bastian)
Simulation and Optimization (Prof. Dr. Hans Georg Bock)
Numerical methods for the solution and optimization of multiscale models (Dr. Thomas Carraro)
Mathematical Modelling and Simulations in Ophthalmology (Dr. Elfriede Friedmann)
Engineering Mathematics and Computing Lab (EMCL) (Prof. Dr. Vincent Heuveline)
Mathematical Methods of Computation (Prof. Dr. Guido Kanschat)
Numerical Optimization (Prof. Dr. Ekaterina A. Kostina)
Optimization in Robotics and Biomechanics (Prof. Dr. Katja Mombaur)
Model-based optimizing control (Dr. Andreas Potschka)
Numerical Methods (Prof. Dr. Rolf Rannacher)