基于遗传算法的自动化立体仓库货位优化

Cargo Space Optimization of Automatic Warehouse Based on Genetic Algorithm

基于自动化立体仓库存货作业和取货作业的不同要求与原则,分别建立了自动化立体仓库存货作业与取货作业的货位分配优化模型。利用遗传算法分别对建立的存货货位优化模型和取货货位优化模型进行算法设计,选取具有代表性的某医药自动化立体仓库收集实际数据,利用MATLAB软件,对建立的模型进行实例仿真验证。

Based on the different requirements and principles of inventory and pickup operations of an automatic warehouse,we established the cargo space optimization models for the inventory operation and pickup operation respectively,and designed the genetic algorithm to solve the models.Then,with the data of a representative pharmaceutical automatic warehouse,we simulated and verified the models established using software MATLAB.