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Chapter and Conference Paper
Expert-Guided Deep Reinforcement Learning for Flexible Job Shop Scheduling Problem
Flexible job shop scheduling (FJSP) is crucial for automated production, ensuring efficiency and flexibility. In recent years, deep reinforcement learning (DRL) has achieved success in solving sequence decisio...
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Article
Q-learning-based multi-objective particle swarm optimization with local search within factories for energy-efficient distributed flow-shop scheduling problem
Given the increasing severity of ecological issues, sustainable development and green manufacturing have emerged as crucial areas of research and practice. The continuous growth of the globalizing economy has ...