Identification of Yield Coefficients in an E.coli Model – An Optimal Experimental Design Using Genetic Algorithms

Abstract 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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