| 引用本文: | 赵强,肖人彬.基于多智能体的虚拟企业任务调度模型及优化[J].控制理论与应用,2009,26(4):.[点击复制] |
| zhaoqiang,Xiaoren-bin.Model on the Task Scheduling in Virtual Enterprise Based on Multi-agent Technology and Its Optimization[J].Control Theory and Technology,2009,26(4):.[点击复制] |
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| 基于多智能体的虚拟企业任务调度模型及优化 |
| Model on the Task Scheduling in Virtual Enterprise Based on Multi-agent Technology and Its Optimization |
| 摘要点击 1457 全文点击 1141 投稿时间：2008-04-28 修订日期：2008-09-25 |
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| DOI编号 10.7641/j.issn.1000-8152.2009.4.CCTA080387 |
| 2009,26(4):- |
| 中文关键词 虚拟企业 任务调度 多智能体 粒子群优化 |
| 英文关键词 virtual enterprise task scheduling multi-agent particle swarm optimization |
| 基金项目 国家自然科学基金项目（60474077）和教育部新世纪人才支持计划项目(NCET－05－653) |
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| 中文摘要 |
| 任务调度是虚拟企业研究的一个重要问题。采用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，综合考虑生产任务之间的时序逻辑关系、作业时间及资源自身已确定的生产任务等影响因素，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。应用实例说明了模型有效性 |
| 英文摘要 |
| 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 established, in which the logical relationship among subtasks, as well as operation time of each subtask, its production activities of each resource agent and other factors is 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. |