In logistics centers,reasonable planning of picking paths can improve picking efficiency.However,in the pick-ing process of staff,there is no time for reasonable planning of picking paths,resulting in low picking efficiency.In view of this,this study improves the ant colony algorithm and optimizes the picking path based on it,in order to reduce the length of the picking path.The research results show that the improved ant colony algorithm effectively reduces the length of picking paths by 24.49％;The improved ant colony algorithm has a high accuracy of 97.82％;In comparison and a-nalysis with genetic algorithm and traditional ant colony algorithm,the path length of genetic algorithm is reduced by 57.86％,and the path length of traditional ant colony algorithm is reduced by 35.21％.The experiment verified the su-periority of the improved ant colony algorithm,indicating that the improved ant colony algorithm can effectively optimize the picking path,reduce the length of the picking path,and improve the picking efficiency of the logistics center.
关键词
蚁群算法/遗传算法/拣货路径/物流中心/路径长度
Key words
Ant colony algorithm/Genetic algorithm/Picking path/Logistics Centre/Path length
万方数据