An online learning-based mACO approach for hot rolling scheduling problems involving dynamic order arrivals

已完结 10 由赵奥飞发布于 2025/3/16 17:22:04

DOI:10.1109/tase.2025.3540042
作者：Sheng-Long Jiang, Qie Liu, Ling-ling Cao, Liangliang Sun
文献类型：期刊论文
补充材料：只需要正文

Institute of Electrical and Electronics Engineers (IEEE)

Abstract：The hot rolling scheduling problem involving dynamic order arrivals (HRSP-DOA) is pivotal in promoting Industry 4.0 initiatives in steel companies. This paper introduces a novel multi-object

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