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Genetic algorithms for optimal control of beer fermentation

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


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

Year: 2001
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