A Logistics Enterprises Vehicle Scheduling Method Based on Genetic Algorithm

Abstract.This paper deals with the genetic algorithm to solve the vehicle scheduling problem of logistics enterprises. It established the mathematical model of vehicle scheduling problem first. Then determined the method of population initialization and the representation of fitness function, in consideration of GA's premature convergence to local values and other defects for genetic algorithm itself, this paper improved the genetic algorithm mutation probability. Finally, it carried out the simulation experiment, and the result shows that the improved genetic algorithm has a good effect on improving the algorithm quality and search efficiency