Realization of swarm intelligence by spiking neurons, and its new development

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In this study, we developed nonlinear procedure to optimize various problems by swarm intelligence, and the hardware realization by spiking neurons and the application for the engineering are considered. Therefore we realized the swarm intelligence optimization technique with a particle influenced by deterministic dynamics system with spiking neurons. The system is based on a neuronal model of the discrete time and asynchronous system, and by applying the searching mechanism that used chaos dynamics, we succeeded in realization of high-performance optimization technique in the system. Furthermore, we realized deterministic particle swarm optimization procedure of the integer type to facilitate implementation in FPGA and showed what it operates fast.