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TitleEvolutionary algorithms for optimal control in fed-batch fermentation processes
Author(s)Rocha, Miguel
Neves, José
Rocha, I.
Ferreira, E. C.
KeywordsBio-engineering processes
Fed-batch fermentation optimization
Variable size chromosomes
Real-valued representations
Issue date2004
JournalLecture Notes in Computer Science
CitationLecture Notes in Computer Science, 3005, 84-93, 2004. (RAIDL, Günther [et al.], ed lit. – “Applications of evolutionary computing : proceedings of EvoWorkshops 2004, Coimbra, Portugal, 2004”. Berlin: Springer, 2004. ISBN 3-540-21378-3.)
Abstract(s)In this work, Evolutionary Algorithms (EAs) are used to achieve optimal feedforward control in a recombinant bacterial fed-batch fermentation process, that aims at producing a bio-pharmaceutical product. Three diferent aspects are the target of the optimization procedure: the feeding trajectory (the amount of substrate introduced in a bioreactor per time unit), the duration of the fermentation and the initial conditions of the process. A novel EA with variable size chromosomes and using real-valued representations is proposed that is capable of simultaneously optimizing the aforementioned aspects. Outstanding productivity levels were achieved and the results are validated by practice.
TypeBook part
Publisher version
AccessOpen access
Appears in Collections:CEB - Livros e Capítulos de Livros / Books and Book Chapters
DI/CCTC - Artigos (papers)

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