An adaptive scheduling system in knowledgeable manufacturing based on multi-agent

Hao-Xiang Wang, Hong-Sen Yan
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引用次数: 1

Abstract

To address the uncertainty of production environment in knowledgeable manufacturing system, an interoperable knowledgeable dynamic scheduling system based on multi-agent is designed, in which a knowledge representation with a series of problem characteristics for various scheduling problems is adopted and problem-based function modules are constructed by using agent technology. An adaptive scheduling mechanism based on Q-learning (known as MA-Q policy) is proposed for guiding the equipment agent to select scheduling strategy in a dynamic environment. Simulation experiments show the scheduling system is of high intelligence and interoperability, and can constantly adapt to environmental changes by self-learning.
基于多智能体的知识制造自适应调度系统
为解决知识制造系统中生产环境的不确定性,设计了一种基于多智能体的互操作知识动态调度系统,该系统采用具有一系列问题特征的知识表示,并利用智能体技术构建了基于问题的功能模块。提出了一种基于q学习的自适应调度机制(称为MA-Q策略),用于指导设备代理在动态环境中选择调度策略。仿真实验表明,该调度系统具有较高的智能和互操作性,并能通过自学习不断适应环境的变化。
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