Title | ||
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Modeling of decentralized processes in dynamic logistic networks by means of graph-transformational swarms. |
Abstract | ||
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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 |
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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 Abdenebaoui | 1 | 1 | 2.38 |
Hans-Jörg Kreowski | 2 | 1170 | 251.39 |