智能 RGV 的动态调度策略研究
项目介绍
随着自动化、智能化的发展并逐步渗入到各个领域，相应的调控策略的算法也成为热点。本文针对智能加工系统中，智能轨道式自动引导车 RGV 在运行中的动态调度问题进行了研究。
针对一道工序的加工，利用模拟退火算法找到 RGV 的工作初始最短路径，并构建实时动态模型；针对两道工序的加工，建立适用于一般问题的差分进化法多目标再调度周期模型。
发表期刊：《新型工业化》2019 年第 1 期，87-90 页。
Research on Dynamic Scheduling Strategy for Intelligent RGV
Project Introduction
As automation and intelligent technologies continue to permeate various fields, scheduling strategy algorithms have become a hot research topic. This paper studies the dynamic scheduling problem of intelligent Rail Guided Vehicles (RGV) in smart manufacturing systems.
For single-process machining, a simulated annealing algorithm is employed to find the initial shortest path for RGV operations and a real-time dynamic model is constructed. For dual-process machining, a differential evolution-based multi-objective rescheduling periodic model applicable to general problems is established.
Published in: Journal of New Industrialization, Vol. 2019, No. 1, pp. 87-90.