Genetic algorithms for optimal control of beer fermentation

G. E. Carrillo-Ureta, P. Roberts, V. Becerra
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引用次数: 50

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.
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啤酒发酵最优控制的遗传算法
本文采用遗传算法来优化啤酒发酵过程的数学模型,以批处理模式运行。优化是基于在固定时间内调整混合物的温度分布,以达到所需的乙醇水平,但要考虑某些操作和质量限制。
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