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Adaptive and Natural Computing Algorithms, p. 288-291

DOI: 10.1007/3-211-27389-1_69

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Evolutionary algorithms for static and dynamic optimization of fed-batch fermentation processes

Journal article published in 2005 by Miguel Rocha, José Neves, Ana C. Aca Veloso ORCID, Eugénio C. Ferreira, Isabel Rocha
This paper is available in a repository.
This paper is available in a repository.

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Abstract

In this work, Evolutionary Algorithms (EAs) are used to control a recombinant bacterial fed-batch fermentation process, that aims at producing a bio-pharmaceutical product. In a first stage, a novel EA is used to optimize the process, prior to its start, by simultaneously adjusting the feeding trajectory, the duration of the fermentation and the initial conditions of the process. In a second stage, dynamic optimization is proposed, where the EA is running simultaneously with the fermentation process, receiving information regarding from the process, updating its internal model, reaching new solutions that will be used for online control.