基于多阶段时间窗模型的物流机器人动态轨迹规划OA
Dynamic Trajectory Planning of Logistics Robots Based on Multi-stage Time Window Model
随着物流行业的快速发展,自动运行的物流机器人逐渐成为配送领域的新趋势.针对物流机器人的配送路径规划问题,文章对机器人配送路径规划方法进行研究.通过引入时间窗惩罚成本函数,优化多阶段时间窗模型,以适应配送任务的动态变化.经实际应用发现,所设计的技术在19次迭代后便将总成本降至最低值3208,显示出卓越的求解性能,对物流行业的持续发展具有重要意义.
With the rapid development of the logistics industry,automated logistics robots gradually become a new trend in the distribution field.The study is conducted on the problem of distribution path planning for logistics robots,focusing on the re-search of robots distribution path planning methods.The multi-stage time window model is optimized by introducing a time window penalty cost function to adapt to the dynamic changes in distribution tasks.Through practical application,it is found that the designed technology reduces the total cost to the lowest value of 3208 after 19 iterations,demonstrating excellent sol-ving performance,and is of great significance for the sustainable development of the logistics industry.
杨丽香;李洁
广西工业职业技术学院,汽车工程学院,广西,南宁 530001广西科技师范学院,数学与计算机工程学院,广西,来宾 546199
信息技术与安全科学
物流配送物流机器人蚁群算法多阶段时间窗模型
logistics distributionlogistics robotsant colony algorithmmulti-stage time window model
《微型电脑应用》 2026 (1)
13-16,4
2022年广西职业教育教学改革研究项目(GXGZJG2022B031)
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