一个基于多代理变压器的算法,用于使用受限制机器进行多任务动态调度
IEEE transactions on cybernetics
|March 3, 2026
概括
一个新的多代理变压器 (MAT) 算法可以实现协作式多任务处理,用于使用受限制机器进行动态调度. 这种方法显著优于现有方法,使代理商能够共享知识并共同做出决定.
科学领域:
- 运营研究 运营研究
- 人工智能的人工智能
- 制造系统制造系统的制造
背景情况:
- 现代制造业需要在动态环境中同时处理任务,使用共享的,受限制的机器.
- 现有的多任务调度算法主要专注于知识传输,忽视了共同资源的协作努力.
研究的目的:
- 提出一种基于多代理变压器 (MAT) 的新算法,用于使用受约束机器进行多任务动态调度.
- 通过结合共享资源的协作决策来解决当前算法的局限性.
主要方法:
- 制定了多任务调度问题作为一个连续的多代理决策过程.
- 开发了一个适应式启发式选择的联合政策网络,利用共同的和特定任务的知识.
- 设计了一个全面的奖励功能,以指导跨任务的协作决策.
主要成果:
- 拟议的MAT算法在270个实例中,与14个最先进的竞争对手相比,表现出了卓越的性能.
- 废除研究证实了奖励机制和联合政策网络在加强决策方面的有效性.
- 该算法成功启用了协作机器共享,用于处理多个任务.
结论:
- 基于MAT的算法通过协作努力有效地解决了受限制机器的多任务动态调度问题.
- 共同政策网络和全面的奖励功能对于知情,协作决策至关重要.
- 这项研究通过整合多代理合作来推进调度算法,用于资源有限的环境.
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