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Zheng-Lin Yu

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Aug 2026

Energy-efficient flexible job shop scheduling with heterogeneous graph embedding and adaptive proximal policy optimization

An adaptive proximal policy optimization algorithm is proposed that enhances the representation capability of the decision-making network by introducing a learnable adaptive gating mechanism and improves the stability and feasibility of solutions by incorporating an ε-greedy strategy and a masking mechanism.

Changshun Shao, Zheng-Lin Yu, Jianyin Tang et al. · 0 citations

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