With the industry's rapid shift to large-scale personalized development, the need for a
ramose multi-agent system capable of flexible job shop scheduling problem (FJSP) is …

The Distributed Job-shop Scheduling Problem (DJSP) is a significant issue in both
academic and industrial fields. In real-world production, uncertain disturbances such as job …

At present, discrete workshops demand higher transportation efficiency, but the traditional
scheduling strategy of the logistics systems can no longer meet the requirements. In a …

针对多品种, 小批量生产模式下柔性作业车间生产调度问题, 以最小化订单总拖期时间为优化
目标, 提出一种基于组合规则和强化学习的智能调度方法. 将柔性作业车间生产调度问题转换为 …

Multi-agent reinforcement learning has recently been applied to solve pursuit problems.
However, it suffers from a large number of time steps per training episode, thus always …

This paper presents a costmap A* guided soft actor-critic (CMA-SAC) path planning method
to optimize the navigation performance of robots in long-distance and complex …