Abstract: In addressing the inventory allocation problem in automated storage and retrieval systems (AS/RS), a multi-objective optimization model was established based on factors such as the operational path of the stacker crane, acceleration, and product categories. The objectives of this model are to reduce the energy consumption of the stacker crane, enhance the spatial aggregation of related products, and ensure the overall stability of the shelves. The standard multi-objective whale optimization algorithm (NSWOA) and an improved multi-objective whale optimization algorithm (INSWOA) were used to solve the model. Simulations were conducted using MATLAB on a real-world instance of inventory allocation, leading to specific allocation results. Comparative analysis proved that the proposed model and algorithms effectively improve the issues of high energy consumption, low correlation among similar products, and disorganized product placement in the operational processes of automated storage systems, thereby providing an effective solution to the inventory allocation problem in AS/RS environments.