Integrated Genetic Algorithm Based Set And Integration Research On Vehicle Routing Optimization

In recent years,with the economic growth,the development of the logistics industry has become an important indicator of a country’s economic development.Modern computer technology,network technology,rapid development of information technology,the development of logistics and e-commerce models are becoming more and more personalized and humanized,and become an indispensable part of people’s lives.The development of the logistics industry has grown by leaps and bounds and has become the "third source of profit." As the core position of the logistics system,the distribution efficiency and the distribution route are related to the cost of the logistics enterprise,thus affecting the customer’s perception.As a typical operational research problem,the vehicle routing problem is one of the research hotspots of logistics problems.The important link in the distribution and collection of goods flow system,bearing the key bridge between the enterprise and the customer,carrying the displacement of the goods in space,and therefore has a strong dependence on the location.The problem of vehicle routing is not only a hot spot for academic experts,but also the focus of research on major logistics companies.As the needs of customers become more flexible and the costs of logistics companies increase,the research on vehicle routing is extremely urgent.How to plan the problem of vehicle road path,scientific,reasonable and efficient selection path is essential for logistics enterprises to reduce costs and improve logistics service efficiency.The study of most vehicle routing problems is only a unilateral distribution study,and there is not much attention to the problem of simultaneous delivery and collection.In fact,in the current logistics enterprises,in order to reduce the no-load rate of vehicles and increase the efficiency of logistics,distribution and collection are carried out at the same time,which is more realistic.Therefore,this paper mainly studies the vehicle routing problem under the integration of integration,establishes the corresponding mathematical model,and compares the centralized methods to select the adaptive genetic algorithm to solve the integration problem,thus verifying the method.