Route Optimization Based on Genetic Algorithms of Stacker for Automated Storage and Retrieval System

In this paper, an automated warehouse is taken as the object, its fixed shelf stacker selection of sub-optimal scheduling problem of operations is researched. The model of the sub-analysis is proposed a genetic algorithm fitness function, to join the task waiting time, and in a real project object to verify the validity of an improved algorithm, the experimental simulation and practical application have been proofed that the algorithm can effectively reduce the running time of the order picking job in the stacker system, the efficiency of warehouse operations has been improved.