基于VNS智能算法的多搬运机器人任务调度方法研究

Research on task scheduling method for multi-handling robot based on VNS intelligent algorithm

近些年来,我国经济不断发展,电商自然也在这些发展之列。随着电商领域的蓬勃发展,仓库内的货物搬运作业量也随之增加。不少电商企业为了加快完成作业量,开始运用“播种式”搬运机器人进行搬运。多搬运机器人作为众多机器人中的一种,采用就近原则使得操作更加便利,在一定程度上提高了系统的最大效力,具有巨大的可供调度的空间。文章采用着色旅行商问题理论(CTSP),通过调查与分析多搬运机器人在不同场景(拣选以及搬运)下,其调度任务方案的区别,从而探索更加科学、合理、有效的建模技术及算法。

In recent years,China's economy continues to develop,and e-commerce is naturally in these developments.With the vigorous development in the field of electricity,the warehouse goods handling quantity also increased rapidly.Many electricity in order to speed up the completion of the homework,began to use“seeding”handling robot handling.The Multi-handling robot as one of many robots,adopts the nearest principle to make operation more convenient.To a certain extent,it improves the maximum effectiveness of the system,which has a huge space for scheduling.This paper adopts the color travel agent problem theory(CTSP),and investigates and analyzes the differences between the scheduling tasks of multi-handling robots in different scenarios(picking and handling),so as to summarize and explore more scientific,reasonable and effective modeling techniques and algorithms.