Research on efficient online planning of emergency logistics path based on double-layer ant colony optimization algorithm

被引:9
作者
Liu D. [1 ]
Ji S. [1 ]
机构
[1] School of Logistics Engineering, Wuhan University of Technology, Wuhan
关键词
Double-layer ant colony optimization algorithm; efficient; emergency logistics path; online; planning;
D O I
10.1080/1206212X.2018.1455019
中图分类号
学科分类号
摘要
In order to scientifically plan the path of emergency logistics vehicle the path planning method needs to be studied. At present, the distribution efficiency is low. In this paper, an efficient online planning algorithm for emergency logistics path based on double ant colony optimization is proposed. The experimental results showed that the proposed algorithm can improve the distribution efficiency. © 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group.
引用
收藏
页码:400 / 406
页数:6
相关论文
共 20 条
[1]  
Yu C., Cao Q., Wang S., The simulation of logistics vehicle routing planning, Comput Simul, 33, 8, pp. 359-364, (2016)
[2]  
Zhang Y., Hou Y., Li C., Ant path planning for handling robot based on artificial immune algorithm, Comput Meas Control, 23, 12, pp. 4124-4127, (2015)
[3]  
Guo S., Xing D., Path planning for robot based on improved Ant colony algorithm, Bull Sci Technol, 31, 12, pp. 91-93, (2015)
[4]  
Li Y., Zhan Y., Li Y., Research on method of path-planning for mobile robot based on improving social spider algorithm, Sci Technol Eng, 16, 35, pp. 225-230, (2016)
[5]  
Ge L., Zhang W., Based on GIS and Dijkstra algorithm the path planning research for university students visiting, Electr Des Eng, 24, 9, pp. 56-59, (2016)
[6]  
Jha D.K., Chattopadhyay P., Sarkar S., Et al., Path planning in GPS-denied environments via collective intelligence of distributed sensor networks, Int J Control, 89, 5, pp. 1-24, (2016)
[7]  
Liu M., Robotic online path planning on point cloud, IEEE Trans Cybern, 46, 5, pp. 1217-1220, (2016)
[8]  
Watts R., Christmann H.C., Johnson E.N., Et al., Development and evaluation of an automated path planning Aid, J Aircr, 49, 6, pp. 1774-1785, (2015)
[9]  
Vorobieva H., Glaser S., Minoiu-Enache N., Et al., Automatic parallel parking in tiny spots: path planning and control, IEEE Trans Intell Transp Syst, 16, 1, pp. 396-410, (2015)
[10]  
Wagner G., Choset H., Subdimensional expansion for multirobot path planning, Artif Intell, 219, C, pp. 1-24, (2015)