The issue of reclaiming scheduling in dry bulk terminal yards was examined, with the objective of enhancing operational efficiency, minimizing delays, and optimizing the advantages of ship loading mixing operations. An optimization model was developed to schedule the reclaiming operations at a dry bulk terminal, considering the loading mixing process, in order to reduce delays. The integrated optimization of reclaiming scheme formulation, stacking position allocation, and reclaimer scheduling was conducted, by considering constraints such as dynamic yard storage of various goods, mutual interference of reclaimer operations, and proportional synchronous reclaiming of multiple stacking positions. Based on the characteristics of the problem and model, a heuristic algorithm was designed to efficiently solve large-scale problems by using adaptive large neighborhood search. The experimental results show that, compared to a general solver, the method proposed in this paper can obtain high-quality material retrieval scheduling schemes for large-scale cases within 1 hour. Compared with the squeaking wheel algorithm, the average improvement of the objective function value in solving large-scale cases is 19.9%. Meanwhile, this method comprehensively considers the integrated optimization of stacking allocation and reclaimer scheduling for mixed loading. Compared with the results obtained without considering mixed loading, the total delay of reclaimer operations reduced by an average of 28.35%，which can provide theoretical support for dry bulk terminals to allocate yard resources and plan operations when considering mixed loading process.