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
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;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
Conference_Location :
Hunan
Print_ISBN :
978-0-7695-3357-5
DOI :
10.1109/ICICTA.2008.289