Optimization Reserch on Storage Position of Automated Stereoscopic Warehouse Based on Genetic Algorithm
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.
automatic stereoscopic warehousestorage space allocation strategymulti-objective optimizationgenetic algorithm
万方数据
维普
