OMOptim

OMOptim is a sub‐system of the OpenModelica platform facilitating optimization in engineering. OMOptim is initially developed in a collaboration between Linköping University and Mines‐ParisTech within the framework of Open Source Modelica Consortium.

OMOptim extends the capabilities of OpenModelica towards design optimization e.g., it can be used to the increase energy efficiency of an industrial process or for different tasks like configuration optimization (e.g. optimal choice of components), parameter optimization, dynamic control optimization etc.

Applications

• Design optimization
  – Continuous parameters
  – Components selection
• Sensitivity analysis
• Optimal control
• Hybrid systems

Planned Optimization Methods

• Evolution strategies (e.g. genetic algorithms)
• Gradient based methods (e.g. SQP)
• Relaxation techniques
• Hybrid algorithms

Downloads

• OMOptim is was part of OpenModelica: https://openmodelica.org/download/download-windows

Publications

• Towards Design Optimization with OpenModelica Emphasizing Parameter Optimization with Genetic Algorithms Hubert Thieriota, Maroun Nemera, Mohsen Torabzadeh-Tarib, Peter Fritzson, Rajiv Singhc, John John Kocherryc, Modelica Conference 2011

Request for Contributions

Contributors

• Hubert Thieriot
• Mohsen Torabzadeh-Tari, Linköping University, PELAB – Programming Environment Lab, Sweden
• Peter Fritzson, Linköping University, PELAB – Programming Environment Lab, Sweden

Contact

• Mail to: OpenModelica [at] ida.liu.se