DocumentCode
3226558
Title
Research on ACA Optimization in the Logistics Distribution System
Author
Sun Yunshan ; Zhang Liyi ; Zhang Yan ; Li Ronghua ; Li Wei ; Li He
Author_Institution
Coll. of Inf. Eng., Tianjin Univ. of Commerce, Tianjin
Volume
2
fYear
2008
fDate
20-22 Oct. 2008
Firstpage
654
Lastpage
658
Abstract
Ant colony algorithm is a new simulation-biological evolution algorithm. ACA Applications in the logistics distribution system were analyzed. During the process of constructing the logistics distribution system, logistics center location was optimized by ACA, which guarantees highly effective logistics supply. Logistics route optimization offers the optimization route of goods transportation. And it is the precondition for obtaining the best economic efficiency. Logistics distribution vehicles optimization dispatch makes vehicles dispatch accord with the largest supply capacity of logistics center, simultaneously satisfies the largest request of the customer service.
Keywords
goods distribution; logistics; optimisation; ACA optimization; ant colony algorithm; customer service; goods transportation; logistics distribution system; simulation-biological evolution algorithm; Ant colony optimization; Automation; Business; Costs; Distributed computing; Educational institutions; Food technology; Logistics; Sun; Vehicles; Ant Colony Algorithm; Logistics Distribution System; Optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
Conference_Location
Hunan
Print_ISBN
978-0-7695-3357-5
Type
conf
DOI
10.1109/ICICTA.2008.289
Filename
4659843
Link To Document