| Vehicle Routing Problem is one important content of modern logistics research system. Choosing the suitable transportation route can accelerate the response speed to customer's demand. Improving the service of quality , strengthen customer's satisfaction to logistics system , reduce the operation costs of the facilitator.This paper analyzes the vehicle scheduling problem mathematical model. First, the problem in a mathematical model based on the proposal of establishing a geographic database and vehicle database . A new method of the web law can be generated by computer and intelligent GIS database based on the geographical database can find the best path between any two points distribution and the geographical distribution of information , such as the best path length. This calculated plan to avoid the mass of each delivery substantial savings of time and increased efficiency . Cooperation with vehicle routing and delivery trucks lay the foundation for the optimization. Vehicle Database can have real-time scheduling of vehicles to the car. Conducted an in-depth study of genetic algorithms to solve complex optimization of problems in the system. Providing a new way for a competitive edge . With delivery trucks using genetic algorithms to solve the situation with a time limit distribution lines optimization problem. |