分布式任务计划动态调整模型及算法

发布时间：2018-03-22 22:03

本文选题：动态调整　切入点：平台定价　出处：《系统工程与电子技术》2017年02期 　论文类型：期刊论文

【摘要】：战时任务计划的动态调整是当前作战指挥领域研究的热点问题。首先描述了分布式兵力组织的组成要素,对规划问题进行了建模,并且提出了平台定价模型。然后设计了一个分布式的协作框架,用来实现任务计划的动态调整,该框架由两个模块构成,第一部分是内部模块,该模块包括一个N-best算法和一个反馈策略,完成决策实体内部的二次分配;第二部分是外部模块,当任务精度低于期望值时调用此模块,实现决策实体间的协作。最后通过仿真实验证明了该模型的有效性,并讨论了模型在不同情况下的适用性。
[Abstract]:The dynamic adjustment of wartime mission planning is a hot issue in the field of operational command. Firstly, the constituent elements of distributed force organization are described, and the planning problem is modeled. Then a distributed collaboration framework is designed to dynamically adjust the task plan. The framework is composed of two modules. The first part is the internal module. The module includes a N-best algorithm and a feedback strategy to complete the quadratic allocation within the decision entity. The second part is the external module, which is called when the task precision is lower than the expected value. Finally, the validity of the model is proved by simulation experiments, and the applicability of the model in different cases is discussed.
【作者单位】：空军工程大学信息与导航学院;
【基金】：国家自然科学基金(61573017)资助课题
【分类号】：E141.1;TP301.6

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