Single-vehicle multi-site distribution line processing method

Abstract

The invention discloses a single-vehicle multi-site distribution line processing method. The method includes: planning a line of a single site to multiple distribution sites by employing a saving algorithm based on map data, and obtaining planned initial distribution line parameters, wherein the multiple distribution sites comprise two or more distribution sites in a logistics distribution process, and the single site refers to a distribution origin or a distribution terminal in the logistics distribution process; and performing optimization processing on the initial distribution line parameters by employing a genetic algorithm, and obtaining practical distribution line parameters. According to the method, through real map road network data, the calculation of the sequence of the distribution sites is more reasonable based on the calculation of the optimal path of distribution sites in pairs through the combination of the saving algorithm and the genetic algorithm, the distribution efficiency of logistics enterprises can be improved, and the distribution cost can be effectively lowered.

Description

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine

Login to view more

AI Technical Summary

Benefits of technology

The technology described in this patented solution helps manage multiple vehicles' routes on one network efficiently while also reducing their cost compared with traditional methods like road transportation or postal delivery systems. This means it will make better use of resources than just sending each vehicle separately instead of all together at once.

Problems solved by technology

This patented technical problem addressed during routing involves optimizing the placement of distributions at different times based on maps provided from existing systems without providing accurate mapping data that can help optimize delivering efficient services across various types of transportation networks such as truck tractor fleets or rail cars.

Images