遗传算法在货位精确选址中的应用研究

Application of Genetic Algorithm in Selecting Accurate Freight Site

结合作者开发自动化立体仓库的实际经验,首先对自动化立体仓库中取、放货和倒库作业时货位状态不符合要求,如何重新确定最优货位的问题,以及大型仓库有多台货物转移台车同时作业,如何优化调度的问题进行分析,然后从人工智能的角度,借助遗传算法,提出了一种优化方法。该设计方法在实际应用中获得了良好效果。

The author has discussed how to find a right place for goods firstly at times when we export, import goods or change a site of goods under the practical experiences, and how to select a best way to control many vehicles in an automated three-dimensional warehouse. Finally, an optimal genetic algorithm has been provided. This design method has achieved good effect on actual application.