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

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dc.contributor.authorVeloso, Ana C. A.
dc.contributor.authorRocha, I.
dc.contributor.authorFerreira, Eugénio C.
dc.date.accessioned2005-09-13T10:10:12Z
dc.date.available2005-09-13T10:10:12Z
dc.date.issued2005
dc.description.abstractAn 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.eng
dc.description.sponsorshipPrograma de Desenvolvimento Educativo para Portugal (PRODEP).eng
dc.description.sponsorshipFundação para a Ciência e a Tecnologia (FCT) – PRAXISXXI/BD/16961/98.
dc.distributioninternationaleng
dc.identifier.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.eng
dc.identifier.isbn0-08-044251-X
dc.identifier.urihttps://hdl.handle.net/1822/2880
dc.language.isoengeng
dc.peerreviewedyeseng
dc.publisherPergamon Presseng
dc.relationinfo:eu-repo/grantAgreement/FCT/POCTI/PRAXIS XXI%2FBD%2F16961%2F98/PT
dc.rightsopenAccesseng
dc.subjectOptimisationeng
dc.subjectGenetic algorithmseng
dc.subjectFisher information matrixeng
dc.subjectFed-batch fermentationeng
dc.subjectE. colieng
dc.subjectYield coefficientseng
dc.titleIdentification of yield coefficients in an E. coli model : an optimal experimental design using genetic algorithmseng
dc.typeconferencePapereng
dspace.entity.typePublicationen

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