Design of Easily Synchronizable Oscillator Networks Using the Monte Carlo Optimization Method
arXiv:1004.1260 · doi:10.1103/PhysRevE.81.056204
Abstract
Starting with an initial random network of oscillators with a heterogeneous frequency distribution, its autonomous synchronization ability can be largely improved by appropriately rewiring the links between the elements. Ensembles of synchronization-optimized networks with different connectivities are generated and their statistical properties are studied.
References in corpus (9)
- Synchronization in complex networks
- Network Synchronization, Diffusion, and the Paradox of Heterogeneity
- Synchronization in scale-free network with asymmetric coupling
- Synchronization transition in scale-free networks: Clusters of synchrony
- Probing rare physical trajectories with Lyapunov weighted dynamics
- Synchronization in symmetric bipolar population networks
- Synchronization and structure in an adaptive oscillator network
- Computation of the Kolmogorov-Sinai entropy using statistitical mechanics: Application of an exchange Monte Carlo method
- Exploration of Order in Chaos with Replica Exchange Monte Carlo
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