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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...

    Wenqiang Zhang, Huili Geng, Xuan Bao in Bio-Inspired Computing: Theories and Appli… (2024)

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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 ...

    Wenqiang Zhang, Huili Geng, Chen Li, Mitsuo Gen in Journal of Intelligent Manufacturing (2023)