Paper Info
Title
Multidimentional self-organization for online time-constrained vehicle routing problems
Abstract
Vehicle Routing problems are highly complex problems for which different Artificial Intelligence techniques have been used. In this paper, we propose two agent-oriented self-organization models for the dynamic version of the problem with time windows. The first model relies on a spatial representation, and the second is based on a space-time representation of the agents' action zones, which are able to maintain a good distribution of the vehicles on the environment. This distribution provides better results than traditional methods by allowing the agents to take their decisions while anticipating future changes in the system's parameters.
Year
DOI
Venue
2010
10.1007/978-3-642-13541-5_18
KES-AMSTA (2)
Keywords
Field
DocType
online time-constrained vehicle,better result,space-time representation,good distribution,dynamic version,different artificial intelligence technique,agent-oriented self-organization model,multidimentional self-organization,action zone,vehicle routing problem,spatial representation,complex problem,space time,artificial intelligent,self organization
Vehicle routing problem,Static routing,Computer science,Self-organization,Artificial intelligence,Spatial representation,Machine learning,Complex problems
Conference
Volume
ISSN
ISBN
6071
0302-9743
3-642-13540-4
Citations 
PageRank 
References 
0
0.34
19
Authors
2
Name
Order
Citations
PageRank
Besma Zeddini1155.03
Mahdi Zargayouna24614.87