基于关键路径链和PACGA的网络总线资源调度方法研究

发布时间：2018-01-06 01:19

本文关键词：基于关键路径链和PACGA的网络总线资源调度方法研究　出处：《计算机测量与控制》2014年12期 　论文类型：期刊论文

【摘要】：针对传统工业控制网络总线资源调度算法在节点数量逐渐增加时收敛速度慢和搜索精度不高,且准确度及效率低等问题,提出了一种基于关键路径链和多态蚁群遗传算法(PACGA)的资源调度方法,采用关键路径链的调度算法获取需求调度的节点,不同节点间采用多态蚁群遗传算法进行资源的调度,依据照工业控制网络资源调度的特征,用自适应调整挥发系数增强节点的全局搜索性能,通过候选节点集方法缩小搜索区域提高算法的搜索效率,完成工业控制网络总线资源的高效调度;仿真实验说明,该种方法在工业控制过程中任务数量较多的情况下仍然具备较高的运行效率和精度,并且具有较低的运行时间,具有较强的应用价值。
[Abstract]:In view of the traditional industrial control network bus scheduling algorithm in the number of nodes increases gradually when the slow convergence speed and search precision, and accuracy and low efficiency, this paper proposes a critical path chain and polymorphic ant colony based on genetic algorithm (PACGA) resource scheduling method, node access demand scheduling scheduling algorithm using the critical path of the chain the different nodes with the polymorphic ant colony genetic algorithm for resource scheduling, according to the features of industrial control as cyber source scheduling, adaptive adjustment of evaporation coefficient enhanced node global search performance, the candidate node set method to narrow the search area to improve the search efficiency of the algorithm, complete and efficient scheduling of industrial control network bus resources; simulation results show this method, task in industrial control process a large number of cases still has higher efficiency and precision, and It has a lower running time and has a strong application value.

【作者单位】：信阳职业技术学院;
【分类号】：TP336;TP18
【正文快照】： 0引言网络总线适应了工业控制系统向分散化、网络化、智能化的发展方向,其成为工业自动化技术的热点,得到了广泛的应用[1-2]。当前的依据调度中心的资源调度方法在节点数量逐渐增加的情况下,调度中心资源调度能力将减弱,求解算法存在效果差、效率低等问题[3-5],本文提出了基于

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