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Aiming Wang

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Open access Sep 2026

A Two-Layer Multi-Agent Deep Reinforcement Learning Framework for Flexible Job-Shop Scheduling with Multiple Batch-Processing Machines

An extended FJSP with multiple BPMs is formed and an end-to-end two-layer multi-agent deep reinforcement learning framework is proposed, supporting the framework as an effective scheduling approach for deterministic FJSP with BPMs and indicating cross-scale generalization across evaluated instances.

Ze-Peng Liu, Ai-Ming Wang · 0 citations
Conference Aug 2026

Local Stiffness Modeling Method for Thin-Walled Blades Based on Abaqus Secondary Development

Complex thin-walled structures are prone to elastic deflection and machining deformation under cutting forces due to their low structural stiffness, complex curved geometries, and significant local thickness variations, thereby deteriorating dimensional accuracy and surface integrity. To address the difficulty of conve...

Niansong Zhang, Yongjie Yin, Long Wu et al. · 0 citations

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