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English(EN) A Graph Neural Network--Guided Genetic Algorithm for Physical Internet Supply Chain Optimization under Cost Uncertainty

新的GNN-GA算法优化物理互联网供应链

研究人员开发了一种新颖的图神经网络引导遗传算法(GNN-GA),用于优化物理互联网框架内的复杂供应链网络。该方法结合了离散分配决策和连续流量问题,解决了成本不确定性问题。GNN组件有助于初始化遗传算法的种群,并根据预测不确定性调整变异策略,在测试中表现优于标准的遗传算法和模拟退火。 AI

影响 这项研究可能通过先进的人工智能技术带来更高效、更稳健的供应链管理。

排序理由 该集群包含一篇详细介绍供应链优化新算法的研究论文。

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

新的GNN-GA算法优化物理互联网供应链

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报道来源 [2]

  1. arXiv cs.LG TIER_1 English(EN) · Faezeh Ardali, Gerald M. Knapp ·

    面向成本不确定性物理互联网供应链优化的图神经网络引导遗传算法

    arXiv:2608.10245v1 Announce Type: cross Abstract: Inventory and distribution planning in Physical Internet networks requires coordinating factory-hub assignments, factory supply, lateral transshipment among collaborative hubs, retailer deliveries, and shortages. The problem combi…

  2. arXiv cs.NE (Neural & Evolutionary) TIER_1 English(EN) · Gerald M. Knapp ·

    面向成本不确定性物理互联网供应链优化的图神经网络引导遗传算法

    Inventory and distribution planning in Physical Internet networks requires coordinating factory-hub assignments, factory supply, lateral transshipment among collaborative hubs, retailer deliveries, and shortages. The problem combines discrete assignment decisions with interdepend…