基于反馈寻优的旅游物流线路优化模型

Route Optimization Model of Tourism Logistics Based on Feedback

针对旅游物流线路分析了旅游用品供应链中的运输线路,详细阐述了供应链中旅游用品制造商、旅游用品批发商之间进行物流线路优化的意义,提出了一种基于蚁群反馈寻优模型的旅游物流线路优化方法。利用蚁群方法,对采集的旅游用品物流路径进行反馈,从而为旅游物流线路优化提供准确的数据基础。根据上述数据,建立粒子群寻优物流运输模型,选取最优的旅游物流线路,从而实现旅游物流线路优化。实验结果表明,利用本文模型进行旅游物流线路优化,能够提高旅游物流的运输效率,降低旅游物流的运输成本,取得了令人满意的经济效益,在实际的运输过程中,具有较强的可操作性。

In this paper, we proposed a method for the optimization of the tourism logistics routes based on ant colony feedback optimization model. Using the ant colony method, we fed back on the logistics route in the collection of tourism utilities to provide accurate data for the optimization of the mute. On the basis of the data, we established the particle swarm logistics optimization model and selected the optimal tourism logistics route. Next, through an experiment we found that the model proposed could improve the transportation efficiency of tourism logistics and reduce its cost.