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...
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| Outros Autores: | , |
| Formato: | conferencePaper |
| Idioma: | eng |
| Publicado em: |
2005
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| Assuntos: | |
| Texto completo: | https://hdl.handle.net/1822/2880 |
| País: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/2880 |
| Resumo: | 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. |
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