Modeling of decentralized processes in dynamic logistic networks by means of graph-transformational swarms
First online: 31.08.2016
Cite this article as: Abdenebaoui, L. & Kreowski, HJ. Logist. Res. (2016) 9: 20. doi:10.1007/s12159-016-0147-6
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.
Dynamic logistic networks Decentralized control Automated guided vehicles Graphtransformational swarms Swarm computation Graph transformation