基于遗传算法求解带时间窗的外卖配送车辆路径问题研究

Research on Solving the Vehicle Routing Problem of Takeaway Delivery Vehicle with Time Window Based on Genetic Algorithm

随着人民生活节奏的加快,对外卖的需求量越来越大,外卖的配送问题逐渐被重视起来。传统外卖的配送方式配送效率低,容易导致成本过高,研究基于遗传算法(Genetic Algorithm,GA)求解带时间窗的车辆路径问题(Vehicle Routing Problem with Time Windows,VRPTW)具有重大意义,可以尽可能减少配送成本和增加客户满意度,这对于外卖配送企业具有极大的好处。基于GA求解VRPTW的主要步骤是,首先建立数学模型,然后构造初始解,最后通过遗传算法来对种群进行有限次数的迭代,生成最优解。

With the accelerated pace of people's life,the demand for takeaway is increasing,and the delivery of takeaway has gradually been paid more attention.The traditional delivery method of food delivery has low delivery efficiency and easily leads to high cost.It is of great significance to study the vehicle routing problem with time window(Vehicle Routing Problem with Time Windows,VRPTW)based on Genetic Algorithm(GA).It can reduce the cost of delivery as much as possible and increase customer satisfaction,which is of great benefit to takeaway delivery companies.The main steps to solve VRPTW based on GA are to first establish a mathematical model,then construct the initial solution,and finally use the genetic algorithm to iterate the population for a limited number of times to generate the optimal solution.