啤酒发酵最优控制的遗传算法

Proceeding of the 2001 IEEE International Symposium on Intelligent Control (ISIC '01) (Cat. No.01CH37206) Pub Date : 2001-09-05 DOI:10.1109/ISIC.2001.971541

G. E. Carrillo-Ureta, P. Roberts, V. Becerra

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引用次数: 50

摘要

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。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Genetic algorithms for optimal control of beer fermentation

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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Proceeding of the 2001 IEEE International Symposium on Intelligent Control (ISIC '01) (Cat. No.01CH37206)

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