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.
Full text not archived in this repository.
To link to this article DOI: 10.1109/ISIC.2001.971541
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.