MOEA/D with Adaptive Lévy Flight Operator for Stereoscopic Warehouse Management Systems

Stereoscopic warehouses improve logistics efficiency and reduce costs through automation, making it necessary to optimize their storage management systems. This paper focuses on the problem of stacker picking delay in the storage management system of a stereoscopic warehouse, aiming to improve storage and production efficiency through technology and process optimization. Firstly, a path planning model is established to optimize the path length and response speed. Then in order to enhance the global search capability and make the algorithm jump out of the local optimum, the MOEA/D algorithm is adapted to incorporate the adaptive Lévy flight operator into it. The superiority of the improved MOEA/D (IMOEA/D) is verified through a case study.