Research on Signal-to-Noise Ratio Optimization based on Chaotic Immune Difference Algorithm

A new algorithm based on the combination of chaotic sequences and immune differencing is proposed to improve population diversity capability in order conventional for solving signal-to-noise optimal problem. The method uses sequence expansion, accuracy analysed. In test effectiveness algorithm, it applied a function optimisation Simulation results show that has lower number iterations better accuracy.