基于遗传算法的农产品物流车辆路径问题决策研究

摘要

One of the main reasons that cause the high cost of China agricultural products logistics is lacking of scientific tech- nology of management, especially the decision making tech based on data analysis. One of the approaches can reduce the cost of agricultural products logistics is the optimizing vehicle route problem. The time windows VRP in agricultural products can be solved by bringing the function of customers satisfaction to the decision making model based on the company case and getting the result with the toolkits of genetic algorithm. To certifying the feasibility and reasonability of the DM model with the comparison the results.%我国农产品物流成本较高的主要原因之一是缺乏科学的管理技术,尤其是基于定量分析的决策技术。对物流车辆路径问题的优化可以有效降低农产品的物流成本。针对农产品的时效性,对带有时间窗的农产品物流车辆路径问题,引入客户满意度函数,建立实例决策模型,运用遗传算法工具箱进行优化求解。通过对优化前后的数据进行比较,验证决策模型的可行性和合理性。