The work aims to optimize the allocation of space in automatic cable yards based on the "goods to person" picking mode to improve the operation efficiency of automated cable yards. Considering the repositioning caused by the multiple stacking of cable containers, a mathematical model on the dynamic allocation of space was established to minimize the total handling numbers of the inbound and outbound crane. An adaptive large neighborhood search algorithm based on the maximum stack timing interval was designed to solve the problem and obtain the optimization allocation scheme. The optimized solution obtained according to the adaptive large neighborhood search algorithm based on the maximum stack timing interval could reduce the average handling numbers of the inbound and outbound crane by about 8.12%. Compared with the current allocation method, the proposed allocation strategy can effectively improve the working efficiency of the system.