Abstract
This paper examines the application of intelligent optimization technology in the design of printing and packaging equipment, with a focus on its use in intelligent design. The paper also explores the use of genetic algorithm, artificial neural network, and simulated annealing algorithm in intelligent optimization technology. The paper reviews the development and classification of intelligent optimization technology and discusses its applications in the manufacturing industry, specifically in the context of intelligent design for printing and packaging equipment. Through case studies and analysis, the paper identifies the challenges and requirements faced by the promotion and application of intelligent optimization technology in printing and packaging equipment intelligent design. Finally, it proposes strategies and measures to promote research and application of intelligent optimization technology in this field, such as conducting more research on the advantages and limitations of different algorithms, improving collaboration between academic institutions and industry, and promoting the adoption of intelligent optimization technology through training and education programs.
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Acknowledgement
This research was supported by Key Technologies Research and Application of Intelligent Packaging and Printing Factory (No. 2020QFY0-08).
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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Liu, M. (2024). Intelligent Optimization Technology in Design of Printing and Packaging Equipment. In: Song, H., Xu, M., Yang, L., Zhang, L., Yan, S. (eds) Innovative Technologies for Printing, Packaging and Digital Media. CACPP 2023. Lecture Notes in Electrical Engineering, vol 1144. Springer, Singapore. https://doi.org/10.1007/978-981-99-9955-2_39
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DOI: https://doi.org/10.1007/978-981-99-9955-2_39
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