On the Benefits of Multimodal Optimization for Metablic Network Modeling

@inproceedings{Kronfeld2009OnTB,
  title={On the Benefits of Multimodal Optimization for Metablic Network Modeling},
  author={Marcel Kronfeld and Andreas Dr{\"a}ger and Moritz Aschoff and Andreas Zell},
  booktitle={GCB},
  year={2009}
}
The calibration of complex models of biological systems requires numerical simulation and optimization procedures to infer undetermined parameters and fit measured data. The optimization step typically employs heuristic global optimization algorithms, but due to measurement noise and the many degrees of freedom, it is not guaranteed that the identified single optimum is also the most meaningful parameter set. Multimodal optimization allows for identifying multiple optima in parallel. We… CONTINUE READING
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