Abstract:

Optimizing the order picking is a useful way to improve the efficiency of automated warehouses. According to analyzing the process and characteristics of picking in automated warehouses, a new mathematic model is proposed for automated warehouses. Firstly, we make an excellent initial population by the ant colony algorithm, and then optimize and solve the model with the genetic algorithms. The simulation results show that the model is feasible, and the mix of the ant colony and genetic algorithms is not only feasible but also accelerate the speed of the algorithm, and then improve the efficiency of order picking.

Key words: ant colony genetic algorithm;automated warehouse;order picking;optimization