DocumentCode :
1805621
Title :
Vehicle route optimization in logistics distribution based on extension-coded particle swarm algorithm
Author :
Tang, Huijun
Author_Institution :
Fac. of Inf. Eng., Ningbo Dahongying Coll., Ningbo, China
Volume :
4
fYear :
2011
fDate :
24-26 Dec. 2011
Firstpage :
2350
Lastpage :
2354
Abstract :
Particle swarm optimization algorithm is employed to solve the vehicle scheduling problem in logistics distribution. According to the limitation of vehicle capability and the route in vehicle scheduling, a new extension-coded particle swarm optimization algorithm which is based on the theory of extension is proposed to solve this problem better .The new algorithm is used to optimize the vehicle routing problems. Compared with the genetic algorithm and the general particle swarm algorithm, the computational results show that the new algorithm can effectively optimize the vehicle scheduling problem in logistics distribution.
Keywords :
goods distribution; logistics; particle swarm optimisation; scheduling; vehicles; extension coded particle swarm optimization; extension theory; logistics distribution; vehicle capability; vehicle routing problem; vehicle scheduling problem; Digital TV; extension; particle swarm optimization; vehicle routing problem;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2011 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-1586-0
Type :
conf
DOI :
10.1109/ICCSNT.2011.6182444
Filename :
6182444
Link To Document :
بازگشت