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fjssp

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A comparative study solving the Multi-Objective Flexible Job Shop Scheduling Problem (FJSSP) using Deep Reinforcement Learning (Masked PPO) and Tabu Search to optimize makespan and energy consumption.基于深度强化学习(掩码PPO)与禁忌搜索的多目标柔性作业车间调度问题对比研究,旨在优化最大完工时间与能耗。

  • Updated Mar 24, 2026
  • Python

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