基于遗传算法的自动化立体仓库储位优化研究

Optimization Reserch on Storage Position of Automated Stereoscopic Warehouse Based on Genetic Algorithm

针对自动化立体仓库中货物储位分配策略研究关于多目标数学模型关键性问题。根据立体仓库中货物最佳位置分配的原则和策略,建立合理的货物出入库效率、货架稳定性和货物周转率的3个目标函数模型。根据立体仓库高效性能构建货物存取效率的调整优化模型,借助MATLAB程序对实际货物储位布局实例进行计算和求解并利用遗传算法获得了最优迭代解。仿真结果表明:采用遗传算法可以有效地优化货物储位分配,降低货架质心来提高稳定性,提高存储效率,改善和提高仓库智能化性能。

The paper studies the key issues of multi-objective mathematical model for cargo storage position allocation strategy in automated stereo warehouses.The reasonable three objective function models of goods in and out of the warehouse efficiency,shelf stability and goods turnover rate are established according to the principle and strategy of the optimal position distribution of goods in the three-dimensional warehouse.On the basis of the efficient performance of the three-dimensional warehouse,the adjustment optimization model of cargo access efficiency is built the actual cargo storage position layout examples are to calculated and solved with the help of MATLAB program,and the optimal iterative solution is abtained by application of genetic algorithm.The simulation results show that the genetic algorithm can effectively optimize the goods storage space allocation,improve shelf stability by reducing its gravity center,increase storage efficiency and enhance the intelligent performance of the warehouse.