Title :
A New Multi-Vendor Logistics and Distribution Optimized Algorithm Based on Ant Colony System
Author :
Tang, Ruixue ; Qin, Yongbin
Author_Institution :
Coll. of Comput. Sci. & Inf., Guizhou Univ., Guiyang, China
Abstract :
Logistics and distribution problem is an important part of the modern logistics system. In reality, returned goods must be inevitable. It is necessary to handle with the customers´ return request in time for multi-vendors. In this paper, we set up the corresponding mathematical model and present the multi-vendor logistics and distribution optimized algorithm based on ant colony system, refers to the way to add heuristic information and calculate the value of heuristic information. The results show that our algorithm is feasible and efficient.
Keywords :
DP industry; logistics; optimisation; ant colony system; distribution optimized algorithm; heuristic information; modern logistics system; multi-vendor logistics; Ant colony optimization; Computer science; Costs; Educational institutions; Heuristic algorithms; Logistics; Mathematical model; Routing; Search methods; Vehicles;
Conference_Titel :
Intelligent Systems and Applications (ISA), 2010 2nd International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5872-1
Electronic_ISBN :
978-1-4244-5874-5
DOI :
10.1109/IWISA.2010.5473656