基于短作业优先调度算法的智能RGV动态调度策略  

Intelligent RGV Dynamic Scheduling Strategy based on Priority Scheduling Algorithm of Short Job

作　　者：田继宏 张现 汪珂含 王昆 TIAN Jihong;ZHANG Xian;WANG Kehan;WANG Kun(School of Mathematics and Information Science,Anshan Normal University,Anshan Liaoning 114007,China)

机构地区：[1]鞍山师范学院数学与信息科学学院

出　　处：《鞍山师范学院学报》2019年第2期21-25,共5页Journal of Anshan Normal University

摘　　要：根据RGV的智能动态调动机制,利用短作业优先调度算法、遗传算法及轮盘赌算法,抽象出相关数据模型,将有关的变量和相关数学函数相结合,遵循最优化的模型建立思想,构建了一个具有针对性的系统算法和数学模型,进而给出RGV的调度策略,从而提高系统的作业效率.According to the intelligent dynamic transfer mobility mechanism of RGV,this article relies on short job priority scheduling algorithm,genetic algorithm and roulette algorithm to get the model of related data.Owing to the best-model thought,it combines vector and mathematics function to establish targeted system algorithm and mathematics model and gives scheduling strategy of RGV to improve systemic working efficiency.

关 键 词：智能RGV-CNC加工系统 短作业优先调度算法 遗传算法 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]