Design of easily synchronizable oscillator networks using the Monte Carlo optimization method

2010/04/08 by Tatsuo Yanagita, Alexander S. Mikhailov · 1 citation
Computer Science · Mathematics · Physics and Astronomy · #Cellular Automata and Applications #Computer science #Mathematics #Monte Carlo method #Neural Networks Stability and Synchronization #Nonlinear Dynamics and Pattern Formation #Physics #Statistical physics #Statistics #Synchronization (alternating current) #Synchronization networks #Telecommunications #nlin.AO

paper · pdf · doi:10.1103/physreve.81.056204

arxiv created 2010/04/08 · openalex publication_date 2010/05/14 · arxiv updated 2015/05/18 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05

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.

Citations

• Probing rare physical trajectories with Lyapunov weighted dynamics
• Synchronization transition in scale-free networks: Clusters of synchrony
• Network synchronization, diffusion, and the paradox of heterogeneity
• Equation of State Calculations by Fast Computing Machines
• Clustering and the synchronization of oscillator networks
• Statistical mechanics of complex networks
• Synchronization and structure in an adaptive oscillator network

Cited by

• Sparse optimization of mutual synchronization in collectively oscillating networks