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Deep reinforcement learning optimization scheduling algorithm for continuous production line
更新时间：2025-05-26

    • Deep reinforcement learning optimization scheduling algorithm for continuous production line

    • “In the field of improving production line processing efficiency, experts have proposed deep reinforcement learning optimization scheduling algorithms, which effectively reduce data complexity, optimize scheduling parameters, and achieve continuous production line scheduling. The comprehensive evaluation results are all higher than 0.9531.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 54, Issue 7, Pages: 2086-2092(2024)
    • 作者机构：

      1.新疆师范大学 计算机科学技术学院，乌鲁木齐 830000

      2.新疆大学 软件工程学院，乌鲁木齐 830000

      3.新疆大学 机械工程学院，乌鲁木齐 830000

    • DOI：10.13229/j.cnki.jdxbgxb.20230129    

      CLC： TP273

    • Received：15 February 2023，

      Published：01 July 2024

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  • ZHU Guang-he,ZHU Zhi-qiang,YUAN Yi-ping.Deep reinforcement learning optimization scheduling algorithm for continuous production line[J].Journal of Jilin University(Engineering and Technology Edition),2024,54(07):2086-2092. DOI： 10.13229/j.cnki.jdxbgxb.20230129.

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