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Biological Fermentation Process Control on Account of Swarm Intelligence Algorithm

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Frontier Computing (FC 2022)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1031))

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Abstract

Biological fermentation industry is one of the modern industrial units in industrial economy. This technology has been applied in many aspects such as medical equipment and food on a large scale, and has been found to have excellent development potential and development dynamics. However, biological fermentation is a technology with various processes and complicated procedures, among which there are many influencing factors and the correlation between them is very huge. It is very difficult to fully grasp and conform to process objectives. This paper studies the control of biological fermentation process based on swarm intelligence algorithm, and describes the related content of biological fermentation process control. The test shows that the control research of biological fermentation process based on swarm intelligence algorithm improves the scientific and accuracy of biological fermentation process control simulation.

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Authors and Affiliations

  1. College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, 010018, China

    Shixiong Liu, Hui Chen, Zixuan Xu & Dacheng Liu

  2. Key Laboratory of Clinical Diagnosis and Treatment Technology of Animal Diseases, Ministry of Agriculture, Hohhot, 010018, China

    Dacheng Liu

Authors
  1. Shixiong Liu
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  2. Hui Chen
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  3. Zixuan Xu
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  4. Dacheng Liu
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Corresponding author

Correspondence to Dacheng Liu .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, Taichung City, Taiwan

    Jason C. Hung

  2. School of Computer Science and Engineering, University of Aizu, Aizuwakamatsu, Fukushima, Japan

    Neil Y. Yen

  3. Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, Taichung City, Taiwan

    Jia-Wei Chang

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Liu, S., Chen, H., Xu, Z., Liu, D. (2023). Biological Fermentation Process Control on Account of Swarm Intelligence Algorithm. In: Hung, J.C., Yen, N.Y., Chang, JW. (eds) Frontier Computing. FC 2022. Lecture Notes in Electrical Engineering, vol 1031. Springer, Singapore. https://doi.org/10.1007/978-981-99-1428-9_80

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  • DOI: https://doi.org/10.1007/978-981-99-1428-9_80

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-1427-2

  • Online ISBN: 978-981-99-1428-9

  • eBook Packages: EngineeringEngineering (R0)

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