Research on storage optimization method for automated stereoscopic warehouse based on genetic algorithm

The deepening application and development of automated stereoscopic warehouses not only improve the efficiency of goods entering and exiting the warehouse, but also face the problem of dynamic storage space allocation optimization, which not only directly affects the average travel time of stacker cranes, but also relates to the overall operational efficiency of stereoscopic warehouses. In response to this, this article combines the main problems of automated stereoscopic warehouses, constructs a storage space allocation optimization problem model, and improves the traditional genetic algorithm to complete the solution of the model.