Title
A Knowledge-Based Model Representation and On-Line Solution Method for Dynamic Vehicle Routing Problem
Abstract
We propose a knowledge-based model representation and on-line solution method for dynamic vehicle routing problem (DVRP) in the paper in order to realize on-line modeling and solution process of the problem. This knowledge-based model representation is composed of six components--B(Basic Data collector), R(Restrictions), I(Initial state generator),S(State operator), G(Goal state), and C(Controller). We term the representation BRISGC six-component model representation. Based on the representation, an on-line solution approach to DVRP is presented. And a real-world DVRP in e-Commerce is solved by the representation and solution method in case study. The result proves that the proposed approach is effective for online and real-time vehicle routing.
Year
DOI
Venue
2007
10.1007/978-3-540-72590-9_32
International Conference on Computational Science (4)
Keywords
Field
DocType
on-line modeling,on-line solution approach,knowledge-based model representation,solution process,dynamic vehicle routing problem,solution method,on-line solution method,representation brisgc six-component model,goal state,real-world dvrp,initial state generator,component model,vehicle routing,e commerce,real time,knowledge base
Vehicle routing problem,Mathematical optimization,Control theory,Model representation,Computer science,Data collector,Operator (computer programming)
Conference
Volume
ISSN
Citations 
4490
0302-9743
3
PageRank 
References 
Authors
0.43
10
4
Name
Order
Citations
PageRank
Lijun Sun18217.07
Xiangpei Hu29317.52
Zheng Wang3318.95
Minfang Huang491.90