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This paper aims to investigate the application of meta-heuristic optimisation methods to Network Signal Setting Design.
For example, solution methods to network management in the context of mobile service should take into account the following questions: The topology of networks is dynamic and real-time data transmissions are needed.
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They needed a method to network on the fly and thus marGenius was born.
Since the present method is designed with the assumption of a known network structure, the application range of our method to network inference is naturally restricted.
The generalization of the method to networks with reversible reactions is straightforward.
HCR combines proactive and reactive methods to handle network connectivity restoration from a single-node failure in WSANs.
This paper proposes two fast methods to design network topologies with high connectivity and survivability based on circulant graph theory.
c) Indeed, there are many methods to construct network models.
Additional file 6: Comparison of predictions for individual methods to consensus network.
We applied our methods to a network meta-analysis example by Senn at al. [ 17].
A variety of statistical methods to infer network topology has been applied to gene expression data [ 1, 7- 20].
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