Summary
International Symposium on Nonlinear Theory and Its Applications
2022
Session Number:C4L-C
Session:
Number:C4L-C-02
Swarm Intelligence Algorithm Based on Spiking Neural-Oscillator Network, Coupling Interactions and Search Performances
Tomoyuki Sasaki , Hidehiro Nakano,
pp.531-534
Publication Date:12/12/2022
Online ISSN:2188-5079
DOI:10.34385/proc.71.C4L-C-02
PDF download (334.1KB)
Summary:
Optimizer based on spiking neural-oscillator networks (OSNNs) is a deterministic swarm intelligence algorithm, which consists of plural simple spiking neural-oscillators ('oscillators'). In OSNNs, the oscillators can search a good solution effectively by interacting with each other. Due to such interaction, an oscillator can take synchronization or asynchronization dynamics. However, parameter conditions, which determine synchronization or asynchronization dynamics, are not clarified. Here, we analyzed the interactions among oscillators using simple network topology, and attempt to clarify the parameter conditions. In addition, we investigated the relationship between search performances of OSNNs and the synchronization or asynchronization dynamics.