DocumentCode :
2246913
Title :
Optimization of logistics distribution routing problem based on improved ant colony algorithm
Author :
Han, Na ; Ji, Xiang-Jun
Author_Institution :
Sch. of Econ. & Manage., Hebei Univ. of Sci. & Technol., Shijiazhuang, China
Volume :
5
fYear :
2010
fDate :
11-14 July 2010
Firstpage :
2261
Lastpage :
2265
Abstract :
The optimization of logistics distribution routing, which played an important role in the logistics distribution system, needed to be solved by a fast and effective algorithm. Based on analyzing the optimization question of logistics distribution routing and the basic model of ant colony algorithm the paper improved many aspects of the ant colony algorithm to optimize the searching ability and speed up the convergence rate. Satisfied computational results on given problems were reported, which showed that the improved ant colony algorithm was useful and effective.
Keywords :
goods distribution; logistics; optimisation; ant colony algorithm; logistics distribution routing problem; optimization; searching ability; Algorithm design and analysis; Heuristic algorithms; Logistics; Machine learning; Optimization; Routing; Vehicles; Ant colony algorithm; Logistics distribution; Routing optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
Type :
conf
DOI :
10.1109/ICMLC.2010.5580646
Filename :
5580646
Link To Document :
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