Genetic algorithms for optimal control of beer fermentationCarrillo-Ureta, G. E., Roberts, P. D. and Becerra, V. M. (2001) Genetic algorithms for optimal control of beer fermentation. In: IEEE International Symposium on Intelligent Control (ISIC'01), 5-7 Sep 2001, Mexico City, Mexico, pp. 391-396, https://doi.org/10.1109/ISIC.2001.971541. Full text not archived in this repository. It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1109/ISIC.2001.971541 Abstract/SummaryThis 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.
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