Identification of yield coefficients in an E. coli model : an optimal experimental design using genetic algorithms
An optimal experimental design for yield coefficients estimation in an unstructured growth model of fed-batch fermentation of E. coli is presented. The feed profile is designed by optimisation of a scalar function based on the Fischer Information Matrix. A genetic algorithm is proposed as the optimi...
| Main Author: | |
|---|---|
| Other Authors: | , |
| Format: | conferencePaper |
| Language: | eng |
| Published: |
2005
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/1822/2880 |
| Country: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/2880 |
| Summary: | An optimal experimental design for yield coefficients estimation in an unstructured growth model of fed-batch fermentation of E. coli is presented. The feed profile is designed by optimisation of a scalar function based on the Fischer Information Matrix. A genetic algorithm is proposed as the optimisation method due to its efficiency and independence on the initial values. |
|---|