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Ant colony system algorithm for the optimization of beer fermentation control

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Abstract

Beer fermentation is a dynamic process that must be guided along a temperature profile to obtain the desired results. Ant colony system algorithm was applied to optimize the kinetic model of this process. During a fixed period of fermentation time, a series of different temperature profiles of the mixture were constructed. An optimal one was chosen at last. Optimal temperature profile maximized the final ethanol production and minimized the byproducts concentration and spoilage risk. The satisfactory results obtained did not require much computation effort.

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Authors and Affiliations

  1. National Key Lab of Industrial Control Technology, Zhejiang University, 310027, Hangzhou, China

    Xiao Jie, Zhou Ze-kui & Zhang Guang-xin

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  1. Xiao Jie
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  2. Zhou Ze-kui
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  3. Zhang Guang-xin
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Correspondence to Xiao Jie.

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Xiao, J., Zhou, Zk. & Zhang, Gx. Ant colony system algorithm for the optimization of beer fermentation control. J. Zheijang Univ.-Sci. 5, 1597–1603 (2004). https://doi.org/10.1631/jzus.2004.1597

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  • DOI: https://doi.org/10.1631/jzus.2004.1597

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