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Identification of yield coefficients in an E. coli model : an optimal experimental design using genetic algorithms

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Detalhes bibliográficos
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.
Autores principais:Veloso, Ana C. A.
Outros Autores:Rocha, I.; Ferreira, Eugénio C.
Assunto:Optimisation Genetic algorithms Fisher information matrix Fed-batch fermentation E. coli Yield coefficients
Ano:2005
País:Portugal
Tipo de documento:comunicação em conferência
Tipo de acesso:acesso aberto
Instituição associada:Universidade do Minho
Idioma:inglês
Origem:RepositóriUM - Universidade do Minho
Descrição
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.