Job-Shop问题的多智能体敏捷调度系统

Zhanjun Wang, Yanbo Liu
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引用次数: 10

摘要

针对动态作业车间问题,提出了一种多智能体调度系统。讨论了控制资源和任务的代理之间的协商机制。首先,为满足敏捷调度的要求,构建了混合MAS框架。然后设计了一种智能算法对遇到的环境进行推理,并为资源代理推荐自适应调度算法。设计了考虑延迟、等待时间和成本的任务代理多目标函数,作为资源投标的评价标准。结果表明,该系统在总流程时间、总等待时间和完工时间方面具有良好的性能
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A Multi-Agent Agile Scheduling System for Job-Shop Problem
This paper proposes a multi-agent scheduling system for dynamic job-shop problem. The negotiation mechanism between agents controlling resources and tasks is discussed. First, a hybrid MAS framework is built to satisfy the requirements of the agile scheduling. Then an intelligent algorithm is designed to reason environment encountered and recommend adaptive scheduling algorithm for resource agents. And multi-objective function considering tardiness, waiting time and cost is designed for task agents as an evaluation criteria of resources' bids. The results obtained show the effective and good performance of this system in total flow time, total waiting time and makespan
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