Genetic algorithms for optimal control of beer fermentation

G. E. Carrillo-Ureta, P. D. Roberts, V. M. Becerra

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    This paper uses genetic algorithms to optimise the mathematical model of a beer fermentation process that operates in batch mode. The optimisation is based in adjusting the temperature profile of the mixture during a fixed period of time in order to reach the required ethanol levels but considering certain operational and quality restrictions.
    Original languageEnglish
    Title of host publicationProceedings of the 2001 IEEE International Symposium on Intelligent Control, 2001. (ISIC '01)
    Place of PublicationPiscataway
    PublisherIEEE
    Pages391-396
    ISBN (Print)0780367227
    DOIs
    Publication statusPublished - 2001

    Keywords

    • batch mode, beer fermentation process, ethanol, genetic algorithms, mathematical model, optimal control, temperature profile

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