基于多智能体的虚拟企业任务调度研究

采用多智能体技术构建了虚拟企业任务调度运行模型，该模型包括管理智能体、任务智能体、资源智能体等。针对模型中的调度优化问题，以资源智能体所承担的生产任务为对象，综合考虑资源智能体自身已确定的生产任务、完成虚拟企业生产任务所需作业时间及转运时间等因素，建立了以生产延续时间最小化为目标的优化调度模型，并给出了粒子群优化求解算法。工业机械手实例说明了任务调度模型及实现方法的有效性。

Research on the Task Scheduling in Virtual Enterprise Based on Multi-agent Technology

Task Scheduling is an important issue in virtual enterprises (VE).The operation model of task scheduling in VE is presented by employing multi-agent technology, which includes management agent, task agent, resource agent and so on. As for the optimization problem of task scheduling, taken the production tasks of each resource agent in VE as the objectives of research in this paper, the model of task scheduling in VE for minimizing the duration of production is brought forward, in which production tasks that have been fixed on for each resource agent, as well as the operation time and the transportation time for completing production tasks that assigned to each resource agent in VE, and other factors are considered, furthermore, the particle swarm optimization (PSO) algorithm is presented for solving it. Real example shows that the operation model of task scheduling in VE is effective.