In the process of research on the electronic commerce platform and the logistics vehicle scheduling method, the current algorithm cannot meet the actual needs of e-commerce logistics distribution. The scheduling stability is poor. To this end, an electronic commerce platform logistics vehicle scheduling method based on cloud computing is proposed. This method first concentrate on the service quality of logistics vehicle scheduling and the satisfaction of users, established a parametric processing model, and the users' comprehensive satisfaction of the e logistics vehicle scheduling is calculated. The vehicles' scheduling problems are divided into two major categories: full load vehicle scheduling and non-full load vehicle scheduling. The hybrid genetic algorithm and C-W saving heuristic algorithm are combined, and the function of logistics vehicle scheduling is calculated. Through selection, crossover, mutation and other operations, to achieve the optimization for logistics vehicle scheduling in electronic platform. Experimental simulation proves that the proposed method can meet the needs of users and improve the resources scheduling rate.
