DocumentCode
3317456
Title
Optimization of postal express mail network based on swarm intelligence
Author
Song, Qing ; Wang, Xiaofan ; Li, Xiaolei ; Chengjin Zhang
Author_Institution
Dept. of Autom., Shanghai Jiao Tong Univ., Shanghai, China
fYear
2009
fDate
15-18 Dec. 2009
Firstpage
591
Lastpage
596
Abstract
Postal express mail network construction is critical in the operation of postal express delivery industry. A lexicographic order linear programming model is formulated to realize the fastest transfer of mails and minimize the network construction costs. A new swarm intelligence scheme based on route planning agent model is proposed to analyze and solve the optimization problem. By embedding the agents into the system model, an optimal express mail network will ultimately be emerged via the agents´ group activities. Experimental results show the effectiveness of the proposed method.
Keywords
artificial intelligence; cost reduction; linear programming; multi-agent systems; particle swarm optimisation; postal services; lexicographic order linear programming model; network construction cost minimization; postal express delivery industry; postal express mail network optimization; route planning agent model; swarm intelligence; Construction industry; Costs; Dispatching; Frequency; Linear programming; Particle swarm optimization; Postal services; Roads; Sorting; Transportation;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
Conference_Location
Shanghai
ISSN
0191-2216
Print_ISBN
978-1-4244-3871-6
Electronic_ISBN
0191-2216
Type
conf
DOI
10.1109/CDC.2009.5400879
Filename
5400879
Link To Document