基于蚁群算法对自动化立体仓库拣选研究

s enterprises continue to expand the scale of modern production and deepening of the hardware warehouse automation equipment, automation and communications technology has been far from perfect，The optimization of automated warehouse management, scheduling, there are still insufficient. Targeted at automated warehouse fixed shelf stacker selection path optimization method to explore research. First, the current automatic three-dimensional storage problems for analysis. Second, the ant colony algorithm is applied to the automated warehouse shelves to choose a fixed path optimization problem. Finally the use of Matlab software programming stacker selection of goods for solving TSP problems and to compare the results.