基于遗传算法的自动化立体仓库货物配载研究  

Research on Cargo Stowage in the Automatic Stereoscopic Warehouse Based on Genetic Algorithm

作　　者：姚琪 周乐 陈宝生 何明凯 

机构地区：[1]国网吴忠供电公司,宁夏吴忠751100

出　　处：《电气自动化》2016年第4期45-48,共4页Electrical Automation

摘　　要：针对自动化立体仓库货物仓位的配载问题建立了一个多目标数学模型。首先根据立体仓库货位分配的原则与策略建立合理的货架重心模型与目标函数,其次根据货物出/入库的高效性建立货物存取效率最优模型。采用基于种群操作的遗传算法求解最优配载结果,通过优化遗传算法,并利用MATLAB程序设计对实际货架的货位分配仿真实例进行计算求解。结果表明:采用改进的遗传算法对货位进行优化分配,可降低货架的重心目标函数值及堆垛机访问时间目标值,增强了货架的稳定性,提升了堆垛机的效率,有效的提高仓库性能。With respect to cargo position stowage in the automatic stereoscopic warehouse, we build up a multi-objective mathematical model. First, we establish a reasonable model for the shelf gravity center and objective function according to the principle and strategy of position assignment in the stereoscopic warehouse. Second, we establish a model for optimal goods access efficiency in the principle of high in and out-warehousing efficiency. An optimal stowage result is achieved by means of genetic algorithm based on population operation. Through optimization of genetic algorithm and Matlab programming, we calculate simulation examples for position assignment in actual shelve. The results show that by adopting the improved genetic algorithm to optimize the allocation of cargo space, we can reduce the objective function value of the gravity center of the shelves as well as the target value of stacker access time, thus enhancing shelf stability, raising stacker efficieney and improving warehouse performance.

关 键 词：自动化立体仓库 货位分配 多目标优化 遗传算法 MATLAB仿真 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]