The vehicle distribution problem has been a NP problem for a long time it can not reach a most optimized state. Because

of the multi- factors that should be considered about the vehicle distribution problem such as the carrying capacity, sources and the

cargo categories and so on. So it can not to describe it with one or a set of math expressions. This article based on the Genetic Algorithm

take each single chromosome as a unit to intercross and variation to reach a comparatively optimized state. It takes the Matlab

software to imitate the basic data to work out a set of optimized results.-The vehicle distribution problem has been a NP problem for a long time　it can not reach a most optimized state. Because

of the multi- factors that should be considered about the vehicle distribution problem such as the carrying capacity, sources and the

cargo categories and so on. So it can not to describe it with one or a set of math expressions. This article based on the Genetic Algorithm

take each single chromosome as a unit to intercross and variation to reach a comparatively optimized state. It takes the Matlab

software to imitate the basic data to work out a set of optimized results.