自动化立体仓库动态货位分配建模与仿真

Automated Warehouse Cargo Space Allocation Dynamically Modeling and Simulation

文章以自动化立体仓库为研究对象,对其货品的存储货位进行优化研究。首先,以关键的货位分配原则为目标函数,建立从入库、出库到倒库三个阶段的动态货位优化模型;其次,通过对比现有的优化算法和多目标遗传算法的,采用基于权重系数变换法的多目标遗传算法求解模型;最后,应用MATLAB对已建的模型进行编程仿真,并对仿真结果进行分析讨论,验证了算法的有效性。

In this thesis, automated warehouse for the study, studied to optimize cargo space to store the goods. First, in a key position distribution principle as the objective function, three stages of cargo space optimization model is established. Secondly, by comparing existing methods for solving multi-objective optimization algorithm and genetic algorithm, using multi-objective genetic algorithm based on the weight coefficient transform method to solve the model; Finally, application of MATLAB programming has built the model simulation, and simulation results are analyzed and discussed.