Logistics Distribution Route Optimization Algorithm Based on Deep Learning

Abstract

This is a research work on the algorithm that can be used to optimize the distribution path. Based on deep learning technology, it will be able to find the shortest path in the net-work. What are the advantages? The main advantage of this al-gorithm is that it can find the best path without any human in-tervention. This means that there will be no error or loss of data and time. The algorithm also runs very fast and has an easy-to-use interface, so everyone can easily understand how to use it. In addition, this method does not require much space and stor-age space, because they only use dee In the second stage, the im-proved genetic algorithm is used to solve the line optimization problem of individual TSP model for the customer points in each group. The main purpose of the algorithm is to improve the efficiency of transportation routes, which means that it can be used to optimize transportation routes to reduce fuel consumption, time and cost. Deep learning algorithm: what are its ad-vantages? Deep learning algorithm can identify the patterns in the data set and make corresponding decisions. They have be-come very popular because they provide a high level of accuracy at low cost.