Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/2880

TitleIdentification of yield coefficients in an E. coli model : an optimal experimental design using genetic algorithms
Author(s)Veloso, Ana C. A.
Rocha, I.
Ferreira, E. C.
KeywordsOptimisation
Genetic algorithms
Fisher information matrix
Fed-batch fermentation
E. coli
Yield coefficients
Issue date2005
PublisherPergamon Press
CitationPONS, Marie-Noëlle ; IMPE, Jan F. M. Van, ed. lit. - "Computer applications in biotechnology 2004 (CAB9) : a proceedings volume from the 9th IFAC International Symposium, Nancy, France, 28 –31 March 2004". Oxford : Pergamon, 2005. ISBN 0-08-044251-X.
Abstract(s)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.
TypeConference paper
URIhttp://hdl.handle.net/1822/2880
ISBN0-08-044251-X
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CEB - Artigos em Livros de Atas / Papers in Proceedings

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