DocumentCode
3424407
Title
Study on agile logistics distribution optimization model based on multi-agent
Author
Ding, Zhiguo ; Xu, Huiying ; Zhu, Xinzhong ; Zhao, Jianmin
Author_Institution
Coll. of Math., Phys. & Inf. Eng., Zhejiang Normal Univ., Jinhua, China
fYear
2009
fDate
17-19 Aug. 2009
Firstpage
140
Lastpage
143
Abstract
Combined with intelligent algorithms and dynamic multi-agent technology, this paper proposes an agile logistics distribution optimization model for scheduling vehicle routing problem (VRP) timely. This model uses frame structures to describe symbolic knowledge for model´s target function and constraints, so that some issues involved in the logistics scheduling optimization can be done away with. The results of simulation experiments prove that this model has mighty efficiency and bright future.
Keywords
logistics; multi-agent systems; optimisation; production engineering computing; scheduling; transportation; agile logistics distribution optimization model; logistics scheduling optimization; multi-agent system; symbolic knowledge; vehicle routing problem; Dynamic scheduling; Educational institutions; Heuristic algorithms; Information systems; Logistics; Mathematical model; Power system modeling; Routing; Scheduling algorithm; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Granular Computing, 2009, GRC '09. IEEE International Conference on
Conference_Location
Nanchang
Print_ISBN
978-1-4244-4830-2
Type
conf
DOI
10.1109/GRC.2009.5255144
Filename
5255144
Link To Document