AS/RS-Datasets

AS/RS-Datasets is a curated collection of benchmark test datasets and selected program codes related to various problems in Automated Storage and Retrieval Systems (AS/RS). The repository includes instances and algorithmic implementations that have been studied in the scientific literature, aiming to facilitate reproducibility, comparison, and further research on AS/RS modeling, optimization, and performance analysis. In addition, this folder includes the test instances, experimental results, and Python codes associated with the study: Zakarya Amara, Mustapha Anwar Brahami, Ali Rimouche, and Latéfa Ghomri (under review). Optimization of Batch Retrieval Time in Multi-Deep AS/RS: A Dedicated Heuristic and Two Metaheuristic Approaches. These materials are provided to facilitate the replication of the experiments and to support future research on retrieval optimization in multi-deep AS/RS.