Optimization of Two-end Access Platform Automated Warehouse Storage Allocation

Abstract

The main technical challenges in the operation of automated warehouses with two-end access platforms are related to low operational efficiency and racks instability. This paper proposed a modified mathematical model with the optimization objectives of improving the handling efficiency of the stacker crane, reducing the center of gravity of the goods and approaching the quality of the goods in the same aisle. Meanwhile, an improved genetic algorithm based on cosine adaptive is used to optimize the objective function. The findings demonstrate that the developed mathematical model can successfully optimize the warehouse level and that the improved genetic algorithm is more effective than the conventional adaptive algorithm at resolving the allocation issue in the double-access automated warehouse.