Multi- objective warehouse storage allocation optimization based on NSGA-II

Yong Wan; Meimei Yang; Yansheng Li; Yi Zhang; Hengyang Kuang

doi:10.1117/12.2638573

23 May 2022 Multi- objective warehouse storage allocation optimization based on NSGA-II

Yong Wan, Meimei Yang, Yansheng Li, Yi Zhang, Hengyang Kuang

Proceedings Volume 12254, International Conference on Electronic Information Technology (EIT 2022); 1225438 (2022) https://doi.org/10.1117/12.2638573
Event: International Conference on Electronic Information Technology (EIT 2022), 2022, Chengdu, China

Abstract

In order to improve the picking efficiency of warehouses, a multi- objective warehouse storage allocation optimization method based on NSGA-II is proposed for the movable shelf storage system. First, according to the characteristics of the picking operation, a integer number chromosome coding method combining the storage index number and the goods category number is designed; Secondly, a multi-objective optimization model is established with the picking efficiency, shelf stability, goods correlation and the picking channel busyness. Then designed by the number of iterations to determine the adaptive crossover and mutation probability operators; Finally, the simulation experiments show that the improved adaptive NSGA-II algorithm in this paper has significant improvements in running time, DELTA, channel busyness, which can effectively solve the problem of warehouse storage allocation optimization.

Citation Download Citation

Yong Wan, Meimei Yang, Yansheng Li, Yi Zhang, and Hengyang Kuang "Multi- objective warehouse storage allocation optimization based on NSGA-II", Proc. SPIE 12254, International Conference on Electronic Information Technology (EIT 2022), 1225438 (23 May 2022); https://doi.org/10.1117/12.2638573

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