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在 FMS 物流系统的实时调度优化方面，主要是针对 AGV 运输展开的调度研究。简要介绍了两种形式的 AGV 调度策略：基于遗传算法（GA）的 AGV 调度、基于粒子群算法（PSO）的 AGV 调度；将模型及调度优化思想以具体的实例进行验证，以已开发出的仿真程序为基础，在其中融入调度模块，通过实时运行的假定加工任务数据，证实实时调度优化后系统的任务完成时间有明显缩短，提高了整个系统的任务加工处理效率。“,”The main problem is the scheduling of AGV in real-time scheduling optimization of the FMS logistics system.This paper presents two forms of AGV scheduling strategy,one is based on genetic algorithms (GA)of the AGV scheduling,the other is based on particle swarm optimization (PSO)of the AGV scheduling.It verifies the model and scheduling optimization ideas by example based on the developed simulation program and the scheduling module.According to the running of the real-data of assumption,the processing time of the FMS is shortened by real-time scheduling optimization.