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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Yuan-Meng Zhou

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Open access Aug 2026

Adaptive Lagrangian Penalty-Enhanced Proximal Policy Optimization for Flexible Job Shop Rescheduling with Worker Workload Constraints Under Concurrent Dynamic Disturbances

This paper proposes ALP-PPO, an adaptive Lagrangian penalty-enhanced proximal policy optimization algorithm for real-time rescheduling under concurrent machine breakdowns and rush orders, and indicates that the adaptive Lagrangian mechanism reduces constraint violations by more than 40% relative to fixed-penalty alternatives while keeping the primary objectives competitive.

Yuanmeng Zhou, Haoyi Tan, Jiawei Li · 0 citations

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