SFB 614 - Development and Application of Methods for Multiobjective Optimization and Optimal Control and for the Computation of Dynamical Behavior of Hybrid Systems (Subproject A01)
Overview
In subproject A1, the mathematical foundations for self-optimization are being developed. Based on models from engineering sciences, research is conducted in the areas of optimization and optimal control, multi-objective optimization, design point selection and hierarchical optimization. In the 3rd funding period, in addition to further development of algorithms for multi-objective optimization and optimal control, multi-parameter multi-objective optimization problems and dynamic properties of hybrid systems will be researched.
DFG Program Collaborative Research Centres
Subproject of SFB 614: Self-Optimizing Concepts and Structures in Mechanical Engineering
Applicant Institution University of Paderborn
Key Facts
- Grant Number:
- 5485260
- Project type:
- Research
- Project duration:
- 01/2009 - 12/2013
- Funded by:
- DFG