Research on optimization of vehicle path for end of terminal joint delivery based on improved genetic algorithm
In order to solve the joint distribution routing optimization problem,an operational joint distribution strategy was proposed.Based on this,a joint distribution vehicle routing model with the goal of minimizing the vehicle use cost,vehicle running cost and carbon emission cost was constructed.On the basis of determining the customers served by each terminal distribution network,the genetic algorithm based on saving history algorithm was used to solve the model.By using the public data set to verify the superiority of the designed CW-GA algorithm,it was found that the designed algorithm has good solution performance compared with the traditional GA.The proposed algorithm was used to simulate and analyze the changes of related costs before and after joint distribution,as well as the changes of fuel consumption and driving distance under different distribution modes.The results showed that joint distribution can effectively reduce the total logistics cost.
万方数据
维普
