A Delivery Route Optimization Method Considering Customer Level and Delivery Time Requirements

Abstract

The invention discloses a delivery route optimization method considering customer grades and delivery time requirements, establishes a vehicle delivery route optimization model considering customer grades and customer delivery time requirements, and solves the model based on an improved artificial fish swarm algorithm. In view of the shortcomings of the standard artificial fish swarm algorithm in the later stage of evolution, such as low solution accuracy and slow convergence speed, the elite-guided evolutionary strategy, dislocation crossover strategy and heuristic mutation strategy are introduced, that is, through the elite-guided evolutionary strategy, the algorithm can quickly move to the optimal The proximity of the optimal solution improves the local exploration ability of the algorithm; through the dislocation and crossover strategy, the genes of excellent individuals are inherited while effectively overcoming inbreeding; the heuristic mutation strategy can be used to specifically improve the diversity of the population and improve The global development ability of the algorithm is improved. The invention can effectively guarantee the on-time delivery of important customer orders, effectively improve customer satisfaction, and thus increase the economic benefits of the enterprise.

Description

technical field [0001] The invention relates to the field of intelligent logistics and supply chain, in particular to a delivery route optimization method considering customer level and delivery time requirements. Background technique [0002] As the carrier of goods circulation and the blood of e-commerce, logistics has become an indispensable part of enterprise development. Timely delivery of goods to customers according to customer time requirements is an effective way to improve customer satisfaction. In this context, introducing factors such as customer grades and delivery time requirements into the study of logistics and distribution issues has a very good role in promoting customer relationship maintenance, improving distribution efficiency, and improving corporate income. The optimization method of vehicle delivery route based on delivery time requirement has very good scientific significance and social value. [0003] So far, scholars have paid more attention to th...

AI Technical Summary

Problems solved by technology

[0003] So far, scholars have paid more attention to the optimization of logistics distribution routes, while seldom or not considering factors such as customer grades and delivery time requirements, so it is difficult to meet actual needs.

Images