Title
Modeling of decentralized processes in dynamic logistic networks by means of graph-transformational swarms.
Abstract
In this paper, we propose to employ the framework of graph-transformational swarms for the modeling of dynamic logistic networks with decentralized processing and control. The members of a graph-transformational swarm act and interact in a common environment graph with massive parallelism of rule-based activities according to local control conditions and a global cooperation condition. This corresponds directly to the logistic hubs and their processes in a logistic network where the processes run simultaneously and autonomously with a proper way of coordination. This covers also dynamic changes on the network structures as the members of a swarm can change the environment anyhow. The approach is illustrated by the modeling of automated guided vehicles.
Year
DOI
Venue
2016
10.1007/s12159-016-0147-6
Logistics Research
Keywords
Field
DocType
Dynamic logistic networks, Decentralized control, Automated guided vehicles, Graph-transformational swarms, Swarm computation, Graph transformation
Graph,Decentralised system,Swarm behaviour,Computer science,Massively parallel,Transformational leadership,Graph rewriting,Artificial intelligence,Network structure
Journal
Volume
Issue
ISSN
9
1
1865-0368
Citations 
PageRank 
References 
0
0.34
7
Authors
2
Name
Order
Citations
PageRank
Larbi Abdenebaoui112.38
Hans-Jörg Kreowski21170251.39