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Genetic algorithms for optimal control of beer fermentation

Carrillo-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.

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To link to this item DOI: 10.1109/ISIC.2001.971541

Abstract/Summary

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.

Item Type:Conference or Workshop Item (Paper)
Refereed:Yes
Divisions:Faculty of Science
ID Code:19201
Uncontrolled Keywords:batch mode, beer fermentation process, ethanol, genetic algorithms, mathematical model, optimal control, temperature profile
Additional Information:Proceedings ISBN: 0780367227

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