摘要
为提高自动化立体仓库中小件物品存储系统的存取效率、缩短出入库时间、提高存储作业的准确性,以双拣选台旋转货架为研究对象,运用粒子群算法对其拣货路径进行了分析和优化。通过对拣货作业过程的分析,提出了解决拣货路径优化问题的数学模型,针对该模型设计了基于粒子群算法的求解过程,并检验了该算法的有效性。实验仿真证明粒子群算法可以快速、稳定、有效地解决双拣选台旋转货架拣货路径的优化问题,从而提高自动化立体仓库的整体作业运行效率。
To improve the access efficiency of medium and small items storage system,shorten storage time and enhance the accuracy of store operations in Automatic Storage and Retrieval System（AS/RS）,the Picking Path of two-station carousel was studied and optimized by the particle swarm algorithm.After analyzing the picking process,a mathematical model is proposed to solve the problem of picking path optimization.Aiming at the model,the method is designed based on the particle swarm algorithm and it is proved to be effective.The simulation results proves that the particle swarm algorithm can solve the picking path optimization of two-station carousel fastly,stably and efficiently,thus promote the whole operation efficiency of automated warehouse.
出处
《机械科学与技术》
CSCD
北大核心
2012年第3期424-428,共5页
Mechanical Science and Technology for Aerospace Engineering
基金
国家自然科学基金项目(11072192)
陕西省教育厅自然科学专项基金项目(JK2010428)资助
