Research on Storage Allocation Strategy of Automated Warehouse Based on Improved Genetic Algorithm

Abstract

This article is mainly to study the optimal storage allocation strategy of automated three-dimensional warehouse. A target mathematical model will be established from three aspects: goods circulation efficiency, shelf stability, and sorting and storage of goods, and a multi-target dimensionality reduction method will be used to convert multiple targets into single targets. The algorithm is based on genetic algorithm, introduces niche technology and simulated annealing algorithm for improvement, and adopts an adaptive cross-mutation operator to protect outstanding individuals in the later stage of the iteration. Finally, take the automated warehouse of a spandex company in Lianyungang as an example for experimental analysis. The results show that, compared with the regular genetic algorithm, the improved one converges faster, the solution set quality is better, and it is more effective for the storage allocation.